Real-Time Computer Vision

RUB
INI
Alumni Research Groups
Real-Time Computer Vision

I have moved to moved to the Hochschule Bonn-Rhein-Sieg, where I continue similar research, see my new webpage there.

Dealing with the topic of efficient computer vision, our group has a long and successful history at the chair. Our current focus lies on the technologies for driver assistance systems, which represent an important and challenging field of application. These intelligent systems analyse the vehicle´s environment via different types of sensors, for instance video and radar, thus, increasing safety and comfort for the driver.

Driver assistance systems have to provide reliable results within natural, and therefore, complex and highly dynamic environments. At the same time mobile computers suffer from limited resources. These circumstances make the given tasks very demanding.

In the presented research areas our group is able to look back on numerous projects in cooperation with companies from the automotive industry. The group has excellent know-how in computer vision using an own development framework for scene representations for the integration of a large set of modules. Particularly, in the fields of machine learning, cognitive systems and optimization we benefit from the institute´s interdisciplinary character.

Benchmarks

GTSRB

In 2011, the Real-Time Computer Vision group published The German Traffic Sign Recognition Benchmark at the International Joint Conference on Neural Networks (IJCNN). The benchmark covers a single-image, multi-class classification problem, offering a large, lifelike database. The data set comprises more than 40 classes in more than 50,000 traffic images and has been used for testing and evaluation by research teams around the world.

The German Traffic Sign Recognition Benchmark

Reference

Stallkamp, J., Schlipsing, M., Salmen, J., & Igel, C. (2011). The German Traffic Sign Recognition Benchmark: A multi-class classification competition. In Proceedings of the IEEE International Joint Conference on Neural Networks (pp. 1453–1460).

GTSDB

In 2013, The German Traffic Sign Detection Benchmark was presented at the International Joint Conference on Neural Networks (IJCNN). It proposes a single-image detection problem. The data set includes 900 images, divided into 600 training images and 300 evaluation images, which have been sorted into one of three categories in order to suit the properties of various detection approaches with different properties. The given online evaluation system provides an immediate analysis and ranking of the submitted results. The benchmark has been used by researchers worldwide to test and evaluate their algorithms on the given task.

The German Traffic Sign Detection Benchmark

Reference

Houben, S., Stallkamp, J., Salmen, J., Schlipsing, M., & Igel, C. (2013). Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark. In Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN) (pp. 1–8).

Tutorials

This tutorial was designed for students who are neither familiar with image processing nor C++. A brief introduction to both topics (in combination) is given in the .pdf file provided below. Alternatively, a .zip-folder including the .pdf, demo code and image samples can be downloaded.

Downloads

Image processing tutorial.pdf (.pdf file only)
ImageProcessingTutorial.zip (includes ImageProcessingTutorial.pdf, demo code, and images)

(Version 2.0, 19th August 2010)

Former Cooperations

Group Leader

Dr.-Ing. Sebastian Houben

Members

Daniela Horn, M.A. M.Sc.

Matthias Michael

Former Members

André Ibisch

Dr.-Ing. Marc Tschentscher

Affiliated

Matthias Michael

Computer-aided Sports Analysis

Die Rolle von statistischer Sportanalyse gewinnt stetig an Bedeutung. Der Nutzen sportwissenschaftlicher Daten, etwa zur Unterstützung professioneller Trainingsmethoden, wird allgemein anerkannt. Interessante Kenngrößen zu Fußballspielen (beispielsweise Laufwege, Passspiel und Zweikämpfe) lassen sich jedoch entweder nur subjektiv abschätzen oder manuell sehr aufwändig bzw. deutlich zeitversetzt bestimmen.

Emotion. Eskalation. Gewalt. Entwicklung eines video-basierten Verfahrens zur Früherkennung von Emotionsprozessen bei Großveranstaltungen.

Wenn Menschen in großer Zahl in der Öffentlichkeit zusammenkommen, sei es bei Fußballspielen, Rockkonzerten oder Demonstrationen, entstehen oft Gruppenemotionen (angenehme wie konfliktäre). Die zentrale grundlagentheoretische Fragestellung des Projekts lautet: Lassen sich emotionale Prozesse (i.e. emotionale Eskalationsprozesse) auch automatisch mittels einer beobachtenden Kamera erkennen und in einem entsprechenden bildgebenden Verfahren, mit dem Zweck einer möglichst frühzeitigen Erkennung eskalierender Emotionsprozesse in Großveranstaltungen, darstellen?

Parking Space Detection

The search for a parking space in urban areas is often time-consuming and nerve-racking. Efficient car park guidance systems could support drivers in their search for an available parking space. Video-based systems are a reasonably priced alternative to systems employing other sensor types and their camera input can be used for various tasks within the system.

2021

Dynamic Door Modeling for Monocular 3D Vehicle Detection
Barowski, T., Brehme, A., Szczot, M., & Houben, S.
In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 1359–1365)

pdf

@inproceedings{BarowskiBrehmeSzczotEtAl2021, author = {Barowski, Thomas and Brehme, Andre and Szczot, Magdalena and Houben, Sebastian}, title = {Dynamic Door Modeling for Monocular 3D Vehicle Detection}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {1359–1365}, year = {2021}, }

Barowski, T., Brehme, A., Szczot, M., & Houben, S.. (2021). Dynamic Door Modeling for Monocular 3D Vehicle Detection. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 1359–1365).
Automated Selection of High-Quality Synthetic Images for Data-Driven Machine Learning: A Study on Traffic Signs
Horn, D., Janssen, L., & Houben, S.
In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 832–837)

Paper (pdf)

@inproceedings{HornJanssenHouben2021, author = {Horn, Daniela and Janssen, Lars and Houben, Sebastian}, title = {Automated Selection of High-Quality Synthetic Images for Data-Driven Machine Learning: A Study on Traffic Signs}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {832–837}, year = {2021}, }

Horn, D., Janssen, L., & Houben, S.. (2021). Automated Selection of High-Quality Synthetic Images for Data-Driven Machine Learning: A Study on Traffic Signs. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 832–837).
Fully Automated, Realistic License Plate Substitution in Real-Life Images
Kacmaz, U., Melchior, J., Horn, D., Witte, A., Schoenen, S., & Houben, S.
In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 2972–2979)

Paper

@inproceedings{KacmazMelchiorHornEtAl2021, author = {Kacmaz, Ufuk and Melchior, Jan and Horn, Daniela and Witte, Andreas and Schoenen, Sebastian and Houben, Sebastian}, title = {Fully Automated, Realistic License Plate Substitution in Real-Life Images}, booktitle = {Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC)}, pages = {2972–2979}, year = {2021}, }

Kacmaz, U., Melchior, J., Horn, D., Witte, A., Schoenen, S., & Houben, S.. (2021). Fully Automated, Realistic License Plate Substitution in Real-Life Images. In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 2972–2979).

2020

Fully Automated Traffic Sign Substitution in Real-World Images for Large-Scale Data Augmentation
Horn, D., & Houben, S.
In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 194–200)

Paper Poster

@inproceedings{HornHouben2020, author = {Horn, Daniela and Houben, Sebastian}, title = {Fully Automated Traffic Sign Substitution in Real-World Images for Large-Scale Data Augmentation}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {194–200}, year = {2020}, }

Horn, D., & Houben, S.. (2020). Fully Automated Traffic Sign Substitution in Real-World Images for Large-Scale Data Augmentation. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 194–200).

2019

6DoF Vehicle Pose Estimation Using Segmentation-Based Part Correspondences
Barowski, T., Szczot, M., & Houben, S.
In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 573–580)

pdf

@inproceedings{BarowskiSzczotHouben2019, author = {Barowski, Thomas and Szczot, Magdalena and Houben, Sebastian}, title = {6DoF Vehicle Pose Estimation Using Segmentation-Based Part Correspondences}, booktitle = {Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC)}, pages = {573–580}, year = {2019}, }

Barowski, T., Szczot, M., & Houben, S.. (2019). 6DoF Vehicle Pose Estimation Using Segmentation-Based Part Correspondences. In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 573–580).
Park marking-based vehicle self-localization with a fisheye topview system
Houben, S., Neuhausen, M., Michael, M., Kesten, R., Mickler, F., & Schuller, F.
Journal of Real-Time Image Processing, 16(2), 289–304

pdf Springer Open Access

@article{HoubenNeuhausenMichaelEtAl2019, author = {Houben, Sebastian and Neuhausen, Marcel and Michael, Matthias and Kesten, Robert and Mickler, Florian and Schuller, Florian}, title = {Park marking-based vehicle self-localization with a fisheye topview system}, journal = {Journal of Real-Time Image Processing}, volume = {16}, number = {2}, pages = {289–304}, year = {2019}, }

Houben, S., Neuhausen, M., Michael, M., Kesten, R., Mickler, F., & Schuller, F. (2019). Park marking-based vehicle self-localization with a fisheye topview system. Journal of Real-Time Image Processing, 16(2), 289–304.
Fusing Shape-from-Silhouette and the Sparsity Driven Detector for Camera-Based 3D Multi-Object Localization with Occlusions
Michael, M., Horn, D., & Houben, S.
In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 1417–1424)

pdf

@inproceedings{MichaelHornHouben2019, author = {Michael, Matthias and Horn, Daniela and Houben, Sebastian}, title = {Fusing Shape-from-Silhouette and the Sparsity Driven Detector for Camera-Based 3D Multi-Object Localization with Occlusions}, booktitle = {Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC)}, pages = {1417–1424}, year = {2019}, }

Michael, M., Horn, D., & Houben, S.. (2019). Fusing Shape-from-Silhouette and the Sparsity Driven Detector for Camera-Based 3D Multi-Object Localization with Occlusions. In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 1417–1424).
Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks
Spata, D., Horn, D., & Houben, S.
In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 622–628)

Source Code Paper Poster

@inproceedings{SpataHornHouben2019, author = {Spata, Dominic and Horn, Daniela and Houben, Sebastian}, title = {Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {622–628}, year = {2019}, }

Spata, D., Horn, D., & Houben, S.. (2019). Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 622–628).

2018

Fine-Grained Vehicle Representations for Autonomous Driving
Barowski, T., Szczot, M., & Houben, S.
In IEEE International Conference on Intelligent Transportation Systems (ITSC) (pp. 3797–3804)

@inproceedings{BarowskiSzczotHouben2018, author = {Barowski, Thomas and Szczot, Magdalena and Houben, Sebastian}, title = {Fine-Grained Vehicle Representations for Autonomous Driving}, booktitle = {IEEE International Conference on Intelligent Transportation Systems (ITSC)}, pages = {3797–3804}, year = {2018}, }

Barowski, T., Szczot, M., & Houben, S.. (2018). Fine-Grained Vehicle Representations for Autonomous Driving. In IEEE International Conference on Intelligent Transportation Systems (ITSC) (pp. 3797–3804).
Evaluation of Synthetic Video Data in Machine Learning Approaches for Parking Space Classification
Horn, D., & Houben, S.
In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 2157–2162)

Paper Poster Project Page

@inproceedings{HornHouben2018, author = {Horn, Daniela and Houben, Sebastian}, title = {Evaluation of Synthetic Video Data in Machine Learning Approaches for Parking Space Classification}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {2157–2162}, year = {2018}, }

Horn, D., & Houben, S.. (2018). Evaluation of Synthetic Video Data in Machine Learning Approaches for Parking Space Classification. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 2157–2162).
Erste Ansätze zur automatischen Erkennung von Gruppenverhalten mithilfe des Computersehens
Horn, D., Houben, S., & Schöner, G.
In J. Reichertz & Keysers, V. (Eds.), Emotion. Eskalation. Gewalt. (pp. 130–147) Beltz Juventa

@incollection{HornHoubenSchöner2018, author = {Horn, Daniela and Houben, Sebastian and Schöner, Gregor}, title = {Erste Ansätze zur automatischen Erkennung von Gruppenverhalten mithilfe des Computersehens}, booktitle = {Emotion. Eskalation. Gewalt.}, editor = {Reichertz, Jo and Keysers, V.}, pages = {130–147}, publisher = {Beltz Juventa}, year = {2018}, }

Horn, D., Houben, S., & Schöner, G.. (2018). Erste Ansätze zur automatischen Erkennung von Gruppenverhalten mithilfe des Computersehens. In J. Reichertz & Keysers, V. (Eds.), Emotion. Eskalation. Gewalt. (pp. 130–147). Beltz Juventa.
Automatisierte Videoanalyse
Horn, D., Ibisch, A., & Tschentscher, M.
In C. Moritz & Corsten, M. (Eds.), Handbuch Qualitative Videoanalyse (pp. 445–456) Springer VS Verlag

@incollection{HornIbischTschentscher2018, author = {Horn, D. and Ibisch, A. and Tschentscher, M.}, title = {Automatisierte Videoanalyse}, booktitle = {Handbuch Qualitative Videoanalyse}, editor = {Moritz, C. and Corsten, M.}, pages = {445–456}, publisher = {Springer VS Verlag}, year = {2018}, }

Horn, D., Ibisch, A., & Tschentscher, M.. (2018). Automatisierte Videoanalyse. In C. Moritz & Corsten, M. (Eds.), Handbuch Qualitative Videoanalyse (pp. 445–456). Springer VS Verlag.

2017

A simulated car-park environment for the evaluation of video-based on-site parking guidance systems
Tschentscher, M., Pruß, B., & Horn, D.
In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 1571–1576)

Paper Poster Project Page

@inproceedings{TschentscherPrußHorn2017, author = {Tschentscher, Marc and Pruß, Ben and Horn, Daniela}, title = {A simulated car-park environment for the evaluation of video-based on-site parking guidance systems}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {1571–1576}, year = {2017}, }

Tschentscher, M., Pruß, B., & Horn, D.. (2017). A simulated car-park environment for the evaluation of video-based on-site parking guidance systems. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 1571–1576).

2016

Fast Change Detection for Camera-based Surveillance Systems
Michael, M., Feist, C., Schuller, F., & Tschentscher, M.
In Proceedings of the IEEE International Conference on Intelligent Transportation Systems (Vol. 19, pp. 1–8)

Fast Change Detection for Camera-based Surveillance Systems

@inproceedings{MichaelFeistSchullerEtAl2016, author = {Michael, M. and Feist, C. and Schuller, F. and Tschentscher, M.}, title = {Fast Change Detection for Camera-based Surveillance Systems}, booktitle = {Proceedings of the IEEE International Conference on Intelligent Transportation Systems}, pages = {1–8}, volume = {19}, year = {2016}, }

Michael, M., Feist, C., Schuller, F., & Tschentscher, M.. (2016). Fast Change Detection for Camera-based Surveillance Systems. In Proceedings of the IEEE International Conference on Intelligent Transportation Systems (Vol. 19, pp. 1–8).

2015

Video-based Parking Space Detection: Localisation of Vehicles and Development of an Infrastructure for a Routeing System
Horn, D., & Brüggenthies, M.
In Proceedings of the Forum Bauinformatik (pp. 175–182)

Paper

@inproceedings{HornBrüggenthies2015, author = {Horn, D. and Brüggenthies, M.}, title = {Video-based Parking Space Detection: Localisation of Vehicles and Development of an Infrastructure for a Routeing System}, booktitle = {Proceedings of the Forum Bauinformatik}, pages = {175–182}, year = {2015}, }

Horn, D., & Brüggenthies, M. (2015). Video-based Parking Space Detection: Localisation of Vehicles and Development of an Infrastructure for a Routeing System. In Proceedings of the Forum Bauinformatik (pp. 175–182).
Topview stereo: combining vehicle-mounted wide-angle cameras to a distance sensor array
Houben, S.
In Video Surveillance and Transportation Imaging Applications International Society for Optics and Photonics

pdf

@inproceedings{Houben2015, author = {Houben, Sebastian}, title = {Topview stereo: combining vehicle-mounted wide-angle cameras to a distance sensor array}, booktitle = {Video Surveillance and Transportation Imaging Applications}, organization = {International Society for Optics and Photonics}, year = {2015}, }

Houben, S. (2015). Topview stereo: combining vehicle-mounted wide-angle cameras to a distance sensor array. In Video Surveillance and Transportation Imaging Applications. International Society for Optics and Photonics.
Arbitrary object localization and tracking via multiple-camera surveillance system embedded in a parking garage
Ibisch, A., Houben, S., Michael, M., Kesten, R., & Schuller, F.
In SPIE/IS&T Electronic Imaging International Society for Optics and Photonics

@inproceedings{IbischHoubenMichaelEtAl2015, author = {Ibisch, André and Houben, Sebastian and Michael, Matthias and Kesten, Robert and Schuller, Florian}, title = {Arbitrary object localization and tracking via multiple-camera surveillance system embedded in a parking garage}, booktitle = {SPIE/IS&T Electronic Imaging}, organization = {International Society for Optics and Photonics}, year = {2015}, }

Ibisch, A., Houben, S., Michael, M., Kesten, R., & Schuller, F. (2015). Arbitrary object localization and tracking via multiple-camera surveillance system embedded in a parking garage. In SPIE/IS&T Electronic Imaging. International Society for Optics and Photonics.
Extending Traffic Light Recognition: Efficient Classification of Phase and Pictogram
Michael, M., & Schlipsing, M.
In Proceedings of the IEEE International Joint Conference on Neural Networks

Paper

@inproceedings{MichaelSchlipsing2015, author = {Michael, M. and Schlipsing, M.}, title = {Extending Traffic Light Recognition: Efficient Classification of Phase and Pictogram}, booktitle = {Proceedings of the IEEE International Joint Conference on Neural Networks}, year = {2015}, }

Michael, M., & Schlipsing, M.. (2015). Extending Traffic Light Recognition: Efficient Classification of Phase and Pictogram. In Proceedings of the IEEE International Joint Conference on Neural Networks.
Scalable real-time parking lot classification: An evaluation of image features and supervised learning algorithms
Tschentscher, M., Koch, C., König, M., Salmen, J., & Schlipsing, M.
In Proceedings of the IEEE International Joint Conference on Neural Networks

Paper Poster

@inproceedings{TschentscherKochKönigEtAl2015, author = {Tschentscher, M. and Koch, C. and König, M. and Salmen, J. and Schlipsing, M.}, title = {Scalable real-time parking lot classification: An evaluation of image features and supervised learning algorithms}, booktitle = {Proceedings of the IEEE International Joint Conference on Neural Networks}, year = {2015}, }

Tschentscher, M., Koch, C., König, M., Salmen, J., & Schlipsing, M.. (2015). Scalable real-time parking lot classification: An evaluation of image features and supervised learning algorithms. In Proceedings of the IEEE International Joint Conference on Neural Networks.

2014

Towards the intrinsic self-calibration of a vehicle-mounted omni-directional radially symmetric camera
Houben, S.
In Proceedings of the IEEE Intelligent Vehicles Symposium Proceedings (pp. 878–883)

pdf

@inproceedings{Houben2014, author = {Houben, Sebastian}, title = {Towards the intrinsic self-calibration of a vehicle-mounted omni-directional radially symmetric camera}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium Proceedings}, pages = {878–883}, year = {2014}, }

Houben, S. (2014). Towards the intrinsic self-calibration of a vehicle-mounted omni-directional radially symmetric camera. In Proceedings of the IEEE Intelligent Vehicles Symposium Proceedings (pp. 878–883).
Towards highly automated driving in a parking garage: General object localization and tracking using an environment-embedded camera system
Ibisch, A., Houben, S., Schlipsing, M., Kesten, R., Reimche, P., Schuller, F., & Altinger, H.
In Proceedings of the IEEE Intelligent Vehicles Symposium Proceedings (pp. 426–431)

@inproceedings{IbischHoubenSchlipsingEtAl2014, author = {Ibisch, André and Houben, Sebastian and Schlipsing, Marc and Kesten, Robert and Reimche, Paul and Schuller, Florian and Altinger, Harald}, title = {Towards highly automated driving in a parking garage: General object localization and tracking using an environment-embedded camera system}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium Proceedings}, pages = {426–431}, year = {2014}, }

Ibisch, A., Houben, S., Schlipsing, M., Kesten, R., Reimche, P., Schuller, F., & Altinger, H. (2014). Towards highly automated driving in a parking garage: General object localization and tracking using an environment-embedded camera system. In Proceedings of the IEEE Intelligent Vehicles Symposium Proceedings (pp. 426–431).
Adaptive pattern recognition in real-time video-based soccer analysis
Schlipsing, M., Salmen, J., Tschentscher, M., & Igel, C.
Journal of Real-Time Image Processing, 1–17

Paper

@article{SchlipsingSalmenTschentscherEtAl2014, author = {Schlipsing, Marc and Salmen, Jan and Tschentscher, Marc and Igel, Christian}, title = {Adaptive pattern recognition in real-time video-based soccer analysis}, journal = {Journal of Real-Time Image Processing}, pages = {1–17}, year = {2014}, }

Schlipsing, M., Salmen, J., Tschentscher, M., & Igel, C. (2014). Adaptive pattern recognition in real-time video-based soccer analysis. Journal of Real-Time Image Processing, 1–17.

2013

Video-based trailer detection and articulation estimation
Caup, L., Salmen, J., Muharemovic, I., & Houben, S.
In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 1179–1184)

pdf

@inproceedings{CaupSalmenMuharemovicEtAl2013, author = {Caup, Lukas and Salmen, Jan and Muharemovic, Ibro and Houben, Sebastian}, title = {Video-based trailer detection and articulation estimation}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {1179–1184}, year = {2013}, }

Caup, L., Salmen, J., Muharemovic, I., & Houben, S.. (2013). Video-based trailer detection and articulation estimation. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 1179–1184).
On-vehicle video-based parking lot recognition with fisheye optics
Houben, S., Komar, M., Hohm, A., Luke, S., Neuhausen, M., & Schlipsing, M.
In 16th International IEEE Conference on Intelligent Transportation Systems (ITSC) (pp. 7–12)

pdf

@inproceedings{HoubenKomarHohmEtAl2013, author = {Houben, Sebastian and Komar, Matthias and Hohm, Andree and Luke, Stefan and Neuhausen, Marcel and Schlipsing, Marc}, title = {On-vehicle video-based parking lot recognition with fisheye optics}, booktitle = {16th International IEEE Conference on Intelligent Transportation Systems (ITSC)}, pages = {7–12}, year = {2013}, }

Houben, S., Komar, M., Hohm, A., Luke, S., Neuhausen, M., & Schlipsing, M.. (2013). On-vehicle video-based parking lot recognition with fisheye optics. In 16th International IEEE Conference on Intelligent Transportation Systems (ITSC) (pp. 7–12).
Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark
Houben, S., Stallkamp, J., Salmen, J., Schlipsing, M., & Igel, C.
In Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN) (pp. 1–8)

pdf

@inproceedings{HoubenStallkampSalmenEtAl2013, author = {Houben, Sebastian and Stallkamp, Johannes and Salmen, Jan and Schlipsing, Marc and Igel, Christian}, title = {Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark}, booktitle = {Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN)}, pages = {1–8}, year = {2013}, }

Houben, S., Stallkamp, J., Salmen, J., Schlipsing, M., & Igel, C. (2013). Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark. In Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN) (pp. 1–8).
Autonomous Driving in a Parking Garage: Vehicle Localization and Tracking Using Environment-embedded LIDAR Sensors
Ibisch, A., Stümper, S., Altinger, H., Neuhausen, M., Tschentscher, M., Schlipsing, M., et al.
In Proceedings of the IEEE Intelligent Vehicles Symposium (pp. 829–934)

Paper

@inproceedings{IbischStümperAltingerEtAl2013, author = {Ibisch, A. and Stümper, S. and Altinger, H. and Neuhausen, M. and Tschentscher, M. and Schlipsing, M. and Salmen, J. and Knoll, A.}, title = {Autonomous Driving in a Parking Garage: Vehicle Localization and Tracking Using Environment-embedded LIDAR Sensors}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium}, pages = {829–934}, year = {2013}, }

Ibisch, A., Stümper, S., Altinger, H., Neuhausen, M., Tschentscher, M., Schlipsing, M., et al. (2013). Autonomous Driving in a Parking Garage: Vehicle Localization and Tracking Using Environment-embedded LIDAR Sensors. In Proceedings of the IEEE Intelligent Vehicles Symposium (pp. 829–934).
Real-Time Stereo Vision: Optimizing Semi-Global Matching
Michael, M., Salmen, J., Stallkamp, J., & Schlipsing, M.
In Proceedings of the IEEE Intelligent Vehicles Symposium (pp. 1197–1202)

Paper

@inproceedings{MichaelSalmenStallkampEtAl2013, author = {Michael, M. and Salmen, J. and Stallkamp, J. and Schlipsing, M.}, title = {Real-Time Stereo Vision: Optimizing Semi-Global Matching}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium}, pages = {1197–1202}, year = {2013}, }

Michael, M., Salmen, J., Stallkamp, J., & Schlipsing, M.. (2013). Real-Time Stereo Vision: Optimizing Semi-Global Matching. In Proceedings of the IEEE Intelligent Vehicles Symposium (pp. 1197–1202).
Comparing Image Features and Machine Learning Algorithms for Real-time Parking-space Classifiaction
Tschentscher, M., Neuhausen, M., Koch, C., König, M., Salmen, J., & Schlipsing, M.
In Proceedings of the ASCE International Workshop on Computing in Civil Engineering (pp. 363–370)

Paper

@inproceedings{TschentscherNeuhausenKochEtAl2013, author = {Tschentscher, M. and Neuhausen, M. and Koch, C. and König, M. and Salmen, J. and Schlipsing, M.}, title = {Comparing Image Features and Machine Learning Algorithms for Real-time Parking-space Classifiaction}, booktitle = {Proceedings of the ASCE International Workshop on Computing in Civil Engineering}, pages = {363–370}, year = {2013}, }

Tschentscher, M., Neuhausen, M., Koch, C., König, M., Salmen, J., & Schlipsing, M.. (2013). Comparing Image Features and Machine Learning Algorithms for Real-time Parking-space Classifiaction. In Proceedings of the ASCE International Workshop on Computing in Civil Engineering (pp. 363–370).

2012

Google street view images support the development of vision-based driver assistance systems
Salmen, J., Houben, S., & Schlipsing, M.
In Proceedings of the Intelligent Vehicles Symposium (IV), 2012 IEEE (pp. 891–895) IEEE

pdf

@inproceedings{SalmenHoubenSchlipsing2012, author = {Salmen, Jan and Houben, Sebastian and Schlipsing, Marc}, title = {Google street view images support the development of vision-based driver assistance systems}, booktitle = {Proceedings of the Intelligent Vehicles Symposium (IV), 2012 IEEE}, pages = {891–895}, organization = {IEEE}, year = {2012}, }

Salmen, J., Houben, S., & Schlipsing, M.. (2012). Google street view images support the development of vision-based driver assistance systems. In Proceedings of the Intelligent Vehicles Symposium (IV), 2012 IEEE (pp. 891–895). IEEE.
Evaluation von Monocular Inverse Depth SLAM zur Stützung von Fahrzeugodometrie (Masterarbeit)
Tschentscher, M.

@misc{Tschentscher2012, author = {Tschentscher, Marc}, title = {Evaluation von Monocular Inverse Depth SLAM zur Stützung von Fahrzeugodometrie (Masterarbeit)}, year = {2012}, }

Tschentscher, M. (2012). Evaluation von Monocular Inverse Depth SLAM zur Stützung von Fahrzeugodometrie (Masterarbeit).
Video-based Parking-space Detection
Tschentscher, M., & Neuhausen, M.
In Proceedings of the Forum Bauinformatik (pp. 159–166)

Paper

@inproceedings{TschentscherNeuhausen2012, author = {Tschentscher, M. and Neuhausen, M.}, title = {Video-based Parking-space Detection}, booktitle = {Proceedings of the Forum Bauinformatik}, pages = {159–166}, year = {2012}, }

Tschentscher, M., & Neuhausen, M. (2012). Video-based Parking-space Detection. In Proceedings of the Forum Bauinformatik (pp. 159–166).

2011

A single target voting scheme for traffic sign detection
Houben, S.
In Proceedings of the Intelligent Vehicles Symposium (IV) (pp. 124–129)

pdf

@inproceedings{Houben2011, author = {Houben, Sebastian}, title = {A single target voting scheme for traffic sign detection}, booktitle = {Proceedings of the Intelligent Vehicles Symposium (IV)}, pages = {124–129}, year = {2011}, }

Houben, S. (2011). A single target voting scheme for traffic sign detection. In Proceedings of the Intelligent Vehicles Symposium (IV) (pp. 124–129).

2010

Effiziente Berechnung von 3D-Flußvektoren (Scene Flow) (Bachelorarbeit)
Tschentscher, M.

@misc{Tschentscher2010, author = {Tschentscher, Marc}, title = {Effiziente Berechnung von 3D-Flußvektoren (Scene Flow) (Bachelorarbeit)}, year = {2010}, }

Tschentscher, M. (2010). Effiziente Berechnung von 3D-Flußvektoren (Scene Flow) (Bachelorarbeit).

2020

Examination of the Insufficiencies of Cycle-Consistent Adversarially Generated Images
Janssen, L.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Janssen2020, author = {Janssen, Lars}, title = {Examination of the Insufficiencies of Cycle-Consistent Adversarially Generated Images}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {September}, year = {2020}, }

Janssen, L. (2020, September). Examination of the Insufficiencies of Cycle-Consistent Adversarially Generated Images. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Fußgängerdetektion im autonomen Fahren durch für Menschengruppen optimierte Ansätze in tiefen neuronalen Netzen
Czech, P.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Czech2020, author = {Czech, Phillip}, title = {Fußgängerdetektion im autonomen Fahren durch für Menschengruppen optimierte Ansätze in tiefen neuronalen Netzen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {January}, year = {2020}, }

Czech, P. (2020, January). Fußgängerdetektion im autonomen Fahren durch für Menschengruppen optimierte Ansätze in tiefen neuronalen Netzen. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.

2019

Automatic Analysis of Crash Simulations with the Application of Machine Learning
Peredo Tiburcio, M. A.
Master’s thesis, Automation and Robotics, Technical University Dortmund, Germany

@mastersthesis{Peredo Tiburcio2019, author = {Peredo Tiburcio, Marco Antonio}, title = {Automatic Analysis of Crash Simulations with the Application of Machine Learning}, school = {Automation and Robotics, Technical University Dortmund, Germany}, month = {December}, year = {2019}, }

Peredo Tiburcio, M. A. (2019, December). Automatic Analysis of Crash Simulations with the Application of Machine Learning. Master’s thesis, Automation and Robotics, Technical University Dortmund, Germany.
Entwicklung und Implementierung von maschinellen Lernverfahren zur Wissensgewinnung aus Online-News-Artikeln
Yekta, A. R.
Master’s thesis, IT Security, Ruhr University Bochum, Germany

@mastersthesis{Yekta2019, author = {Yekta, Ali Reca}, title = {Entwicklung und Implementierung von maschinellen Lernverfahren zur Wissensgewinnung aus Online-News-Artikeln}, school = {IT Security, Ruhr University Bochum, Germany}, month = {December}, year = {2019}, }

Yekta, A. R. (2019, December). Entwicklung und Implementierung von maschinellen Lernverfahren zur Wissensgewinnung aus Online-News-Artikeln. Master’s thesis, IT Security, Ruhr University Bochum, Germany.
Ansätze des maschinellen Lernens zur Binärsegmentierung von Parkplatzaufnahmen mit statischen Kameras
Brauksiepe, M.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Brauksiepe2019, author = {Brauksiepe, Marc}, title = {Ansätze des maschinellen Lernens zur Binärsegmentierung von Parkplatzaufnahmen mit statischen Kameras}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {November}, year = {2019}, }

Brauksiepe, M. (2019, November). Ansätze des maschinellen Lernens zur Binärsegmentierung von Parkplatzaufnahmen mit statischen Kameras. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Stellplatzunabhängige Erkennung parallel geparkter Fahrzeuge mit Hilfe statischer Kameras
Eschbach, K.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Eschbach2019, author = {Eschbach, Kevin}, title = {Stellplatzunabhängige Erkennung parallel geparkter Fahrzeuge mit Hilfe statischer Kameras}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {October}, year = {2019}, }

Eschbach, K. (2019, October). Stellplatzunabhängige Erkennung parallel geparkter Fahrzeuge mit Hilfe statischer Kameras. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Untersuchung und Training der neuronalen Netzwerkarchitektur Faster-RCNN und YOLO zur Fahrzeugdetektion
Petrow, K.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Petrow2019, author = {Petrow, Kristina}, title = {Untersuchung und Training der neuronalen Netzwerkarchitektur Faster-RCNN und YOLO zur Fahrzeugdetektion}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {October}, year = {2019}, }

Petrow, K. (2019, October). Untersuchung und Training der neuronalen Netzwerkarchitektur Faster-RCNN und YOLO zur Fahrzeugdetektion. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Lösung des Zuordnungsproblems in einem Multikamerasystem durch die Erweiterung eines tiefen neuronalen Netzwerks zur semantischen Instanzsegmentierung
Asakura, V.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Asakura2019, author = {Asakura, Vincent}, title = {Lösung des Zuordnungsproblems in einem Multikamerasystem durch die Erweiterung eines tiefen neuronalen Netzwerks zur semantischen Instanzsegmentierung}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2019}, }

Asakura, V. (2019). Lösung des Zuordnungsproblems in einem Multikamerasystem durch die Erweiterung eines tiefen neuronalen Netzwerks zur semantischen Instanzsegmentierung. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Echtzeitfähige bildbasierte Videostabilisierung von Außenaufnahmen in dynamischen Szenen
Kiyani, M.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Kiyani2019, author = {Kiyani, Matiyar}, title = {Echtzeitfähige bildbasierte Videostabilisierung von Außenaufnahmen in dynamischen Szenen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {January}, year = {2019}, }

Kiyani, M. (2019, January). Echtzeitfähige bildbasierte Videostabilisierung von Außenaufnahmen in dynamischen Szenen. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Entwicklung und Implementierung einer Kaskade konvolutionaler neuronaler Netzwerke zur Gesichtsmarkendetektion mit Part-Affinity-Fields
Nguyen, T. V.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Nguyen2019, author = {Nguyen, Thuy Vi}, title = {Entwicklung und Implementierung einer Kaskade konvolutionaler neuronaler Netzwerke zur Gesichtsmarkendetektion mit Part-Affinity-Fields}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2019}, }

Nguyen, T. V. (2019). Entwicklung und Implementierung einer Kaskade konvolutionaler neuronaler Netzwerke zur Gesichtsmarkendetektion mit Part-Affinity-Fields. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Verfahren des maschinellen Lernens zur Ermittlung der Nutzungsarten eines Kaffeevollautomaten durch Stromverbrauchsprofile
Ordu, O.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Ordu2019, author = {Ordu, Onur}, title = {Verfahren des maschinellen Lernens zur Ermittlung der Nutzungsarten eines Kaffeevollautomaten durch Stromverbrauchsprofile}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2019}, }

Ordu, O. (2019). Verfahren des maschinellen Lernens zur Ermittlung der Nutzungsarten eines Kaffeevollautomaten durch Stromverbrauchsprofile. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.
A Fast Method for Verification of Extrinsic Sensor Calibrations using Cross-Validation for Automated Driving Development
Raza, S. H.
Master’s thesis, Automation and Robotics, Technical University Dortmund, Germany

@mastersthesis{Raza2019, author = {Raza, Syed Haseeb}, title = {A Fast Method for Verification of Extrinsic Sensor Calibrations using Cross-Validation for Automated Driving Development}, school = {Automation and Robotics, Technical University Dortmund, Germany}, year = {2019}, }

Raza, S. H. (2019). A Fast Method for Verification of Extrinsic Sensor Calibrations using Cross-Validation for Automated Driving Development. Master’s thesis, Automation and Robotics, Technical University Dortmund, Germany.
Unüberwachte Posenregression von Verkehrsschildern mit Hilfe eines Cycle-Consistent Generative Adversarial Networks
Mrosewski, L.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Mrosewski2019, author = {Mrosewski, Leon}, title = {Unüberwachte Posenregression von Verkehrsschildern mit Hilfe eines Cycle-Consistent Generative Adversarial Networks}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {}, year = {2019}, }

Mrosewski, L. (2019). Unüberwachte Posenregression von Verkehrsschildern mit Hilfe eines Cycle-Consistent Generative Adversarial Networks. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.

2018

Entwicklung eines erweiterbaren grafischen Frameworks für Klassifikationsalgorithmen
Bönnighausen, N.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Bönnighausen2018, author = {Bönnighausen, Nils}, title = {Entwicklung eines erweiterbaren grafischen Frameworks für Klassifikationsalgorithmen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {February}, year = {2018}, }

Bönnighausen, N. (2018, February). Entwicklung eines erweiterbaren grafischen Frameworks für Klassifikationsalgorithmen. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Implementierung und Evaluation einer Methode zur bildbasierten Erkennung von Fahrzeugen und deren Posen mittels kaskadierender Entscheidungsbäume
Hegenbarth, J.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Hegenbarth2018, author = {Hegenbarth, Jens}, title = {Implementierung und Evaluation einer Methode zur bildbasierten Erkennung von Fahrzeugen und deren Posen mittels kaskadierender Entscheidungsbäume}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2018}, }

Hegenbarth, J. (2018). Implementierung und Evaluation einer Methode zur bildbasierten Erkennung von Fahrzeugen und deren Posen mittels kaskadierender Entscheidungsbäume. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Evaluation der Übertragbarkeit monokularer Tiefenschätzungsverfahren mit konvolutionalen neuronalen Netzwerken auf untrainierte Anwendungsdomänen
Kippert, S.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Kippert2018, author = {Kippert, Stefan}, title = {Evaluation der Übertragbarkeit monokularer Tiefenschätzungsverfahren mit konvolutionalen neuronalen Netzwerken auf untrainierte Anwendungsdomänen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2018}, }

Kippert, S. (2018). Evaluation der Übertragbarkeit monokularer Tiefenschätzungsverfahren mit konvolutionalen neuronalen Netzwerken auf untrainierte Anwendungsdomänen. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks
Spata, D.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Spata2018, author = {Spata, Dominic}, title = {Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2018}, }

Spata, D. (2018). Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Sensorbasiertes Parkleitsystem mit Umfelderfassung zur Navigation und Belegungserkennung einzelner Parkplätze
Tschentscher, M. P.
Doctoral thesis, Electrical Engineering, Ruhr University Bochum, Germany

@phdthesis{Tschentscher2018, author = {Tschentscher, Marc Philipp}, title = {Sensorbasiertes Parkleitsystem mit Umfelderfassung zur Navigation und Belegungserkennung einzelner Parkplätze}, school = {Electrical Engineering, Ruhr University Bochum, Germany}, year = {2018}, }

Tschentscher, M. P. (2018). Sensorbasiertes Parkleitsystem mit Umfelderfassung zur Navigation und Belegungserkennung einzelner Parkplätze. Doctoral thesis, Electrical Engineering, Ruhr University Bochum, Germany.
Entwicklung einer Simulation virtueller Agenten in statischen Umgebungen basierend auf Unreal Engine 4
Lüke, K.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Lüke2018, author = {Lüke, Kevin}, title = {Entwicklung einer Simulation virtueller Agenten in statischen Umgebungen basierend auf Unreal Engine 4}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {}, year = {2018}, }

Lüke, K. (2018). Entwicklung einer Simulation virtueller Agenten in statischen Umgebungen basierend auf Unreal Engine 4. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.

2017

Entwicklung eines Tools zur Kalibrierung von Kameras anhand von online Kartendaten
Zarovinskyy, A.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Zarovinskyy2017b, author = {Zarovinskyy, Alek}, title = {Entwicklung eines Tools zur Kalibrierung von Kameras anhand von online Kartendaten}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, month = {July }, year = {2017}, }

Zarovinskyy, A. (2017, July). Entwicklung eines Tools zur Kalibrierung von Kameras anhand von online Kartendaten. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Entwicklung einer komplexen Fahrzeug-KI mithilfe der Unreal Engine zur Interaktion mit einem kamerabasierten Parkleitsystem
Asakura, V., Hegenbarth, J., Kippert, S., Spata, D., & Tayeran, S.
Study project, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{AsakuraHegenbarthKippertEtAl2017, author = {Asakura, Vincent and Hegenbarth, Jens and Kippert, Stefan and Spata, Dominic and Tayeran, Shervin}, title = {Entwicklung einer komplexen Fahrzeug-KI mithilfe der Unreal Engine zur Interaktion mit einem kamerabasierten Parkleitsystem}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, type = {Study project}, year = {2017}, }

Asakura, V., Hegenbarth, J., Kippert, S., Spata, D., & Tayeran, S. (2017). Entwicklung einer komplexen Fahrzeug-KI mithilfe der Unreal Engine zur Interaktion mit einem kamerabasierten Parkleitsystem. Study project, Applied Computer Science, Ruhr University Bochum, Germany.
Dichter Fluss für Bewegungssegmentierung: Portierung und Evaluation von Flownet, EpicFlow und EPPN
Bröcheler, C.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Bröcheler2017, author = {Bröcheler, Christian}, title = {Dichter Fluss für Bewegungssegmentierung: Portierung und Evaluation von Flownet, EpicFlow und EPPN}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2017}, }

Bröcheler, C. (2017). Dichter Fluss für Bewegungssegmentierung: Portierung und Evaluation von Flownet, EpicFlow und EPPN. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Building a Simulated Environment for the Evaluation of Image Processing Algorithms in the Context of On-Site Parking Guidance Systems
Horn, D.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Horn2017, author = {Horn, Daniela}, title = {Building a Simulated Environment for the Evaluation of Image Processing Algorithms in the Context of On-Site Parking Guidance Systems}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2017}, }

Horn, D. (2017). Building a Simulated Environment for the Evaluation of Image Processing Algorithms in the Context of On-Site Parking Guidance Systems. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Künstliche Wahrnehmung auf Basis ortsfester Sensoren
Ibisch, A.
Doctoral thesis, ETIT, Ruhr University Bochum, Germany

@phdthesis{Ibisch2017, author = {Ibisch, André}, title = {Künstliche Wahrnehmung auf Basis ortsfester Sensoren}, school = {ETIT, Ruhr University Bochum, Germany}, year = {2017}, }

Ibisch, A. (2017). Künstliche Wahrnehmung auf Basis ortsfester Sensoren. Doctoral thesis, ETIT, Ruhr University Bochum, Germany.
Entwicklung einer realitätsnahen und echtzeitfähigen virtuellen Kamera in der Unreal Engine und Etablierung einer Schnittstelle zum Bildverarbeitungsframework YAF
Pruß, B.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Pruß2017b, author = {Pruß, Ben}, title = {Entwicklung einer realitätsnahen und echtzeitfähigen virtuellen Kamera in der Unreal Engine und Etablierung einer Schnittstelle zum Bildverarbeitungsframework YAF}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2017}, }

Pruß, B. (2017). Entwicklung einer realitätsnahen und echtzeitfähigen virtuellen Kamera in der Unreal Engine und Etablierung einer Schnittstelle zum Bildverarbeitungsframework YAF. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.

2016

Detektion der Körperorientierung von Fußgängern über stationäre Videokameras für automatisierte Fahrfunktionen im Parkhaus
Asakura, V.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Asakura2016, author = {Asakura, Vincent}, title = {Detektion der Körperorientierung von Fußgängern über stationäre Videokameras für automatisierte Fahrfunktionen im Parkhaus}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2016}, }

Asakura, V. (2016). Detektion der Körperorientierung von Fußgängern über stationäre Videokameras für automatisierte Fahrfunktionen im Parkhaus. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Videobasierte Klassifikation von Gruppenverhalten
Asakura, V., Hegenbarth, J., Kippert, S., Spata, D., & Tayeran, S.
Study project, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{AsakuraHegenbarthKippertEtAl2016, author = {Asakura, Vincent and Hegenbarth, Jens and Kippert, Stefan and Spata, Dominic and Tayeran, Shervin}, title = {Videobasierte Klassifikation von Gruppenverhalten}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, type = {Study project}, year = {2016}, }

Asakura, V., Hegenbarth, J., Kippert, S., Spata, D., & Tayeran, S. (2016). Videobasierte Klassifikation von Gruppenverhalten. Study project, Applied Computer Science, Ruhr University Bochum, Germany.
Robuste Detektion von abnormalen Gruppenverhalten unter Verwendung einer Kombination von Particle Advection und Social Force Model
Hegenbarth, J.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Hegenbarth2016, author = {Hegenbarth, Jens}, title = {Robuste Detektion von abnormalen Gruppenverhalten unter Verwendung einer Kombination von Particle Advection und Social Force Model}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2016}, }

Hegenbarth, J. (2016). Robuste Detektion von abnormalen Gruppenverhalten unter Verwendung einer Kombination von Particle Advection und Social Force Model. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Echtzeitfähige Personenerkennung mit einem Deformable Part Modell (DPM) unter Berücksichtigung von Verdeckungen
Kippert, S.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Kippert2016, author = {Kippert, Stefan}, title = {Echtzeitfähige Personenerkennung mit einem Deformable Part Modell (DPM) unter Berücksichtigung von Verdeckungen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2016}, }

Kippert, S. (2016). Echtzeitfähige Personenerkennung mit einem Deformable Part Modell (DPM) unter Berücksichtigung von Verdeckungen. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Verwendung von Texturanalyse zur Zuordnung von Objekten unter großer Perspektive
Sangaré, M.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Sangaré2016b, author = {Sangaré, Mohamed}, title = {Verwendung von Texturanalyse zur Zuordnung von Objekten unter großer Perspektive}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2016}, }

Sangaré, M. (2016). Verwendung von Texturanalyse zur Zuordnung von Objekten unter großer Perspektive. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Action Classification Using a Combination of Hough Voting and Random Forest
Spata, D.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Spata2016, author = {Spata, Dominic}, title = {Action Classification Using a Combination of Hough Voting and Random Forest}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2016}, }

Spata, D. (2016). Action Classification Using a Combination of Hough Voting and Random Forest. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.

2015

Spatial Temporal Integral Channel Features: Effiziente GPU-Implementierung für das Viola-Jones-Detektor-Framework
Barowski, T.
Master’s thesis, ETIT, Ruhr University Bochum, Germany

@mastersthesis{Barowski2015, author = {Barowski, Thomas}, title = {Spatial Temporal Integral Channel Features: Effiziente GPU-Implementierung für das Viola-Jones-Detektor-Framework}, school = {ETIT, Ruhr University Bochum, Germany}, year = {2015}, }

Barowski, T. (2015). Spatial Temporal Integral Channel Features: Effiziente GPU-Implementierung für das Viola-Jones-Detektor-Framework. Master’s thesis, ETIT, Ruhr University Bochum, Germany.
Effiziente Multiklassen-Klassifikation des Belegungsstatus von Parkplätzen unter Berücksichtigung von Verdeckung
Gömleksiz, A.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Gömleksiz2015, author = {Gömleksiz, Arif}, title = {Effiziente Multiklassen-Klassifikation des Belegungsstatus von Parkplätzen unter Berücksichtigung von Verdeckung}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2015}, }

Gömleksiz, A. (2015). Effiziente Multiklassen-Klassifikation des Belegungsstatus von Parkplätzen unter Berücksichtigung von Verdeckung. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Videobasierte Parkplatzerkennung: Markerbasierte Lokalisierung von Fahrzeugen und Aufbau der Infrastruktur für ein Leitsystem
Horn, D., & Brüggenthies, M.
Study project, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{HornBrüggenthies2015, author = {Horn, Daniela and Brüggenthies, Manuel}, title = {Videobasierte Parkplatzerkennung: Markerbasierte Lokalisierung von Fahrzeugen und Aufbau der Infrastruktur für ein Leitsystem}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, type = {Study Project}, year = {2015}, }

Horn, D., & Brüggenthies, M. (2015). Videobasierte Parkplatzerkennung: Markerbasierte Lokalisierung von Fahrzeugen und Aufbau der Infrastruktur für ein Leitsystem. Study project, Applied Computer Science, Ruhr University Bochum, Germany.
Bildverarbeitende Algorithmen zur Fahrerassistenz mit Weitwinkelkameras
Houben, S.
Doctoral thesis, ETIT, Ruhr University Bochum, Germany

@phdthesis{Houben2015, author = {Houben, Sebastian}, title = {Bildverarbeitende Algorithmen zur Fahrerassistenz mit Weitwinkelkameras}, school = {ETIT, Ruhr University Bochum, Germany}, year = {2015}, }

Houben, S. (2015). Bildverarbeitende Algorithmen zur Fahrerassistenz mit Weitwinkelkameras. Doctoral thesis, ETIT, Ruhr University Bochum, Germany.

2014

Framework zur Entwicklung, Bewertung und Analyse von Computer-Vision-Anwendungen im Kontext umfelderfassender Fahrerassistenzsysteme
Stallkamp, J.
Doctoral thesis, Electrical Engineering, Univ. of Bochum, Germany

@phdthesis{Stallkamp2014, author = {Stallkamp, Johannes}, title = {Framework zur Entwicklung, Bewertung und Analyse von Computer-Vision-Anwendungen im Kontext umfelderfassender Fahrerassistenzsysteme}, school = {Electrical Engineering, Univ. of Bochum, Germany}, month = {October}, year = {2014}, }

Stallkamp, J. (2014, October). Framework zur Entwicklung, Bewertung und Analyse von Computer-Vision-Anwendungen im Kontext umfelderfassender Fahrerassistenzsysteme. Doctoral thesis, Electrical Engineering, Univ. of Bochum, Germany. Retrieved from http://www-brs.ub.ruhr-uni-bochum.de/netahtml/HSS/Diss/StallkampJohannes/diss.pdf
Analyse von Bewegungsmustern eines Tennisspielers durch videobasiertes Tracking der Fußpositionen
Heitmeier, S.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Heitmeier2014, author = {Heitmeier, Steven}, title = {Analyse von Bewegungsmustern eines Tennisspielers durch videobasiertes Tracking der Fußpositionen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2014}, }

Heitmeier, S. (2014). Analyse von Bewegungsmustern eines Tennisspielers durch videobasiertes Tracking der Fußpositionen. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Development of a smart phone user interface for a sensor-based car park routeing system
Horn, D.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Horn2014, author = {Horn, Daniela}, title = {Development of a smart phone user interface for a sensor-based car park routeing system}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2014}, }

Horn, D. (2014). Development of a smart phone user interface for a sensor-based car park routeing system. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Parameteroptimierung eines echtzeitfähigen Bildverarbeitungsalgortihmus zur Erkennung von Parkplatzmarkierungen
Lexy, A.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Lexy2014, author = {Lexy, Andreas}, title = {Parameteroptimierung eines echtzeitfähigen Bildverarbeitungsalgortihmus zur Erkennung von Parkplatzmarkierungen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2014}, }

Lexy, A. (2014). Parameteroptimierung eines echtzeitfähigen Bildverarbeitungsalgortihmus zur Erkennung von Parkplatzmarkierungen. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Tracking von Fahrbahnmarkierungen zur Kalibrierung einer videobasierten Umfelderfassung
Neuhausen, M.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Neuhausen2014, author = {Neuhausen, Marcel}, title = {Tracking von Fahrbahnmarkierungen zur Kalibrierung einer videobasierten Umfelderfassung}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2014}, }

Neuhausen, M. (2014). Tracking von Fahrbahnmarkierungen zur Kalibrierung einer videobasierten Umfelderfassung. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Videobasierte Leistungserfassung im Fußball
Schlipsing, M.
Doctoral thesis, Ruhr-Universität Bochum

@phdthesis{Schlipsing2014, author = {Schlipsing, Marc}, title = {Videobasierte Leistungserfassung im Fußball}, school = {Ruhr-Universität Bochum}, year = {2014}, }

Schlipsing, M. (2014). Videobasierte Leistungserfassung im Fußball. Doctoral thesis, Ruhr-Universität Bochum.

2013

Echtzeitfähiges Überwachen eines KFZ-Anhängers mit einer Fischaugen-Kamera
Caup, L.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Caup2013, author = {Caup, Lukas}, title = {Echtzeitfähiges Überwachen eines KFZ-Anhängers mit einer Fischaugen-Kamera}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2013}, }

Caup, L. (2013). Echtzeitfähiges Überwachen eines KFZ-Anhängers mit einer Fischaugen-Kamera. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Echtzeitfähiges Erkennen von KFZ-Kennzeichen in Videobildern
Janowicz, A.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Janowicz2013, author = {Janowicz, André}, title = {Echtzeitfähiges Erkennen von KFZ-Kennzeichen in Videobildern}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2013}, }

Janowicz, A. (2013). Echtzeitfähiges Erkennen von KFZ-Kennzeichen in Videobildern. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Entwicklung eines echtzeitfähigen Stereokamerasystems zur 3D-Szenenrekonstruktion mit CUDA und OpenGL
Mühlig, G.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Mühlig2013, author = {Mühlig, Georgiy}, title = {Entwicklung eines echtzeitfähigen Stereokamerasystems zur 3D-Szenenrekonstruktion mit CUDA und OpenGL}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2013}, }

Mühlig, G. (2013). Entwicklung eines echtzeitfähigen Stereokamerasystems zur 3D-Szenenrekonstruktion mit CUDA und OpenGL. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Region-based Tracking of Multiple Targets in Real-time Using Spatiograms
Patzschke, M.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Patzschke2013, author = {Patzschke, Marcel}, title = {Region-based Tracking of Multiple Targets in Real-time Using Spatiograms}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2013}, }

Patzschke, M. (2013). Region-based Tracking of Multiple Targets in Real-time Using Spatiograms. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Videobasierte Bestimmung des Nickwinkels für Motorräder anhand einer Fluchtpunktschätzung
Rudolph, C.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Rudolph2013, author = {Rudolph, Claudia}, title = {Videobasierte Bestimmung des Nickwinkels für Motorräder anhand einer Fluchtpunktschätzung}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2013}, }

Rudolph, C. (2013). Videobasierte Bestimmung des Nickwinkels für Motorräder anhand einer Fluchtpunktschätzung. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Automatische Zählerablesung aus Digitalbildern mithilfe eines Smartphones
Steinhaus, A.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Steinhaus2013, author = {Steinhaus, Alexander}, title = {Automatische Zählerablesung aus Digitalbildern mithilfe eines Smartphones}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2013}, }

Steinhaus, A. (2013). Automatische Zählerablesung aus Digitalbildern mithilfe eines Smartphones. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Tracking eines Kalibriermusters zur automatischen Schätzung von intrinsichen Kameraparametern
Wolff, E.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Wolff2013b, author = {Wolff, Emanuel}, title = {Tracking eines Kalibriermusters zur automatischen Schätzung von intrinsichen Kameraparametern}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2013}, }

Wolff, E. (2013). Tracking eines Kalibriermusters zur automatischen Schätzung von intrinsichen Kameraparametern. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.

2012

Kamerabasiertes Verfolgen und Überwachen eines Baustellenkrans
Kalkan, T.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Kalkan2012, author = {Kalkan, Turgut}, title = {Kamerabasiertes Verfolgen und Überwachen eines Baustellenkrans}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2012}, }

Kalkan, T. (2012). Kamerabasiertes Verfolgen und Überwachen eines Baustellenkrans. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.
GPU-Implementierung des Semi-Global-Matching Algorithmus für Stereo-Bildverarbeitung
Michael, M.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Michael2012, author = {Michael, Matthias}, title = {GPU-Implementierung des Semi-Global-Matching Algorithmus für Stereo-Bildverarbeitung}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2012}, }

Michael, M. (2012). GPU-Implementierung des Semi-Global-Matching Algorithmus für Stereo-Bildverarbeitung. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Videobasierte Freiraumerkennung für Parkplatzleitsysteme
Neuhausen, M., & Tschentscher, M.
Study project, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{NeuhausenTschentscher2012, author = {Neuhausen, Marcel and Tschentscher, Marc}, title = {Videobasierte Freiraumerkennung für Parkplatzleitsysteme}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, type = {Study Project}, year = {2012}, }

Neuhausen, M., & Tschentscher, M. (2012). Videobasierte Freiraumerkennung für Parkplatzleitsysteme. Study project, Applied Computer Science, Ruhr University Bochum, Germany.
Vergleich von Verfahren zur echtzeitfähigen Verkehrszeichendetektion
Subasi, M. E.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Subasi2012, author = {Subasi, Mehmet Emre}, title = {Vergleich von Verfahren zur echtzeitfähigen Verkehrszeichendetektion}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2012}, }

Subasi, M. E. (2012). Vergleich von Verfahren zur echtzeitfähigen Verkehrszeichendetektion. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Flugbahnschätzung aus Videobildern in der Sportanalyse
Tenbült, S.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Tenbült2012, author = {Tenbült, Stefan}, title = {Flugbahnschätzung aus Videobildern in der Sportanalyse}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2012}, }

Tenbült, S. (2012). Flugbahnschätzung aus Videobildern in der Sportanalyse. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Evaluation von Monocular inverse depth SLAM zur Unterstützung von Fahrzeugodometrie
Tschentscher, M.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Tschentscher2012, author = {Tschentscher, Marc}, title = {Evaluation von Monocular inverse depth SLAM zur Unterstützung von Fahrzeugodometrie}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2012}, }

Tschentscher, M. (2012). Evaluation von Monocular inverse depth SLAM zur Unterstützung von Fahrzeugodometrie. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.

2011

Traffic Sign Crawler
Boukercha, J., Jungmann, A., & Privett, M.
Study project, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{BoukerchaJungmannPrivett2011, author = {Boukercha, Jasmin and Jungmann, Alexander and Privett, Matthias}, title = {Traffic Sign Crawler}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, type = {Study Project}, year = {2011}, }

Boukercha, J., Jungmann, A., & Privett, M. (2011). Traffic Sign Crawler. Study project, Applied Computer Science, Ruhr University Bochum, Germany.
Super-resolution aus Bildfolgen für rigide und nicht-rigide Objekte
Herrmann, A.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Herrmann2011, author = {Herrmann, Alexander}, title = {Super-resolution aus Bildfolgen für rigide und nicht-rigide Objekte}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2011}, }

Herrmann, A. (2011). Super-resolution aus Bildfolgen für rigide und nicht-rigide Objekte. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Mehr-Benutzer-Webanwendung zur Evaluierung von Klassifikationsverfahren im Rahmen eines Multiklassen-Benchmarks
Petzka, B.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Petzka2011, author = {Petzka, Bastian}, title = {Mehr-Benutzer-Webanwendung zur Evaluierung von Klassifikationsverfahren im Rahmen eines Multiklassen-Benchmarks}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2011}, }

Petzka, B. (2011). Mehr-Benutzer-Webanwendung zur Evaluierung von Klassifikationsverfahren im Rahmen eines Multiklassen-Benchmarks. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Fahrerassistenzsysteme für Motorräder: Videobasierte Rollwinkelschätzung
Schepanek, J.
Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{Schepanek2011, author = {Schepanek, Jakob}, title = {Fahrerassistenzsysteme für Motorräder: Videobasierte Rollwinkelschätzung}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2011}, }

Schepanek, J. (2011). Fahrerassistenzsysteme für Motorräder: Videobasierte Rollwinkelschätzung. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.

2010

Design eines öffentlichen Benchmarks zur Evaluierung von Multiklassen-Objekterkennungsverfahren
Bierkant, M., Kubik, L., Petzka, B., Raabe, M., Varsanow, G., & Yilmaz, M.
Study project, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{BierkantKubikPetzkaEtAl2010, author = {Bierkant, Michael and Kubik, Lukas and Petzka, Bastian and Raabe, Martin and Varsanow, Georgi and Yilmaz, Mehmet}, title = {Design eines öffentlichen Benchmarks zur Evaluierung von Multiklassen-Objekterkennungsverfahren}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, type = {Study project}, year = {2010}, }

Bierkant, M., Kubik, L., Petzka, B., Raabe, M., Varsanow, G., & Yilmaz, M. (2010). Design eines öffentlichen Benchmarks zur Evaluierung von Multiklassen-Objekterkennungsverfahren. Study project, Applied Computer Science, Ruhr University Bochum, Germany.
Stereo-Verarbeitung mit Haar-Merkmalen als Grundlage für die Kostenberechnung
Gernhard, M.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Gernhard2010, author = {Gernhard, Martin}, title = {Stereo-Verarbeitung mit Haar-Merkmalen als Grundlage für die Kostenberechnung}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2010}, }

Gernhard, M. (2010). Stereo-Verarbeitung mit Haar-Merkmalen als Grundlage für die Kostenberechnung. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Echtzeitfähige Bildverarbeitung für computergestützte Sportanalyse
Gernhard, M., Köhlert, S., Meis, B., Neuhausen, M., Tschentscher, M., Sommer, N., & Tenbült, S.
Study project, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{GernhardKöhlertMeisEtAl2010, author = {Gernhard, Martin and Köhlert, Sebastian and Meis, Benjamin and Neuhausen, Marcel and Tschentscher, Marc and Sommer, Niels and Tenbült, Stefan}, title = {Echtzeitfähige Bildverarbeitung für computergestützte Sportanalyse}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, type = {Study Project}, year = {2010}, }

Gernhard, M., Köhlert, S., Meis, B., Neuhausen, M., Tschentscher, M., Sommer, N., & Tenbült, S. (2010). Echtzeitfähige Bildverarbeitung für computergestützte Sportanalyse. Study project, Applied Computer Science, Ruhr University Bochum, Germany.
Local interactions in the HMAX model for robust object classification
Ngo Nguyen, H. C.
Study project, Electrical Engineering, Ruhr University Bochum, Germany

@mastersthesis{Ngo Nguyen2010, author = {Ngo Nguyen, Hoang Chuong}, title = {Local interactions in the HMAX model for robust object classification}, school = {Electrical Engineering, Ruhr University Bochum, Germany}, type = {Study project}, year = {2010}, }

Ngo Nguyen, H. C. (2010). Local interactions in the HMAX model for robust object classification. Study project, Electrical Engineering, Ruhr University Bochum, Germany.
Echtzeitfähige Klassifikation von Farbbildern zur Anwendung in der Sportanalyse
Tenbült, S.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Tenbült2010, author = {Tenbült, Stefan}, title = {Echtzeitfähige Klassifikation von Farbbildern zur Anwendung in der Sportanalyse}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2010}, }

Tenbült, S. (2010). Echtzeitfähige Klassifikation von Farbbildern zur Anwendung in der Sportanalyse. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Effiziente Berechnung von 3D-Flussvektoren (Scene Flow)
Tschentscher, M.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Tschentscher2010, author = {Tschentscher, Marc}, title = {Effiziente Berechnung von 3D-Flussvektoren (Scene Flow)}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2010}, }

Tschentscher, M. (2010). Effiziente Berechnung von 3D-Flussvektoren (Scene Flow). Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.

2009

Echtzeitfähige Erkennung bewegter Objekte für Fahrerassistenzsysteme
Brügge, K., Gernhard, M., Haufe, D., Karadag, M., Krause, O., Rempe, D., & Tenbült, S.
Study project, Applied Computer Science, Ruhr University Bochum, Germany

@mastersthesis{BrüggeGernhardHaufeEtAl2009, author = {Brügge, Kai and Gernhard, Martin and Haufe, Dennis and Karadag, Meral and Krause, Oswin and Rempe, Daniel and Tenbült, Stefan}, title = {Echtzeitfähige Erkennung bewegter Objekte für Fahrerassistenzsysteme}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, type = {Study project}, year = {2009}, }

Brügge, K., Gernhard, M., Haufe, D., Karadag, M., Krause, O., Rempe, D., & Tenbült, S. (2009). Echtzeitfähige Erkennung bewegter Objekte für Fahrerassistenzsysteme. Study project, Applied Computer Science, Ruhr University Bochum, Germany.
Bestimmung von optischem Fluss mit einem featurebasierten, echtzeitfähigen Algorithmus
Caup, L.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Caup2009, author = {Caup, Lukas}, title = {Bestimmung von optischem Fluss mit einem featurebasierten, echtzeitfähigen Algorithmus}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2009}, }

Caup, L. (2009). Bestimmung von optischem Fluss mit einem featurebasierten, echtzeitfähigen Algorithmus. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.
Optimierung der Erkennung von Spieler-Trajektorien in der Sportanalyse
Shapir, K.
Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany

@bachelorthesis{Shapir2009, author = {Shapir, Kateryna}, title = {Optimierung der Erkennung von Spieler-Trajektorien in der Sportanalyse}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2009}, }

Shapir, K. (2009). Optimierung der Erkennung von Spieler-Trajektorien in der Sportanalyse. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.

2008

Untersuchung einer autonomen, lernfähigen Fahrzeugführung in Bildkoordinaten
Bergman, S.
Diplomarbeit, Ruhr University Bochum, Germany

@mastersthesis{Bergman2008, author = {Bergman, Sven}, title = {Untersuchung einer autonomen, lernfähigen Fahrzeugführung in Bildkoordinaten}, school = {Ruhr University Bochum, Germany}, type = {Diplomarbeit}, year = {2008}, }

Bergman, S. (2008). Untersuchung einer autonomen, lernfähigen Fahrzeugführung in Bildkoordinaten. Diplomarbeit, Ruhr University Bochum, Germany.

2007

Development of an approach to component based object classification
Noth, S.
Diplomarbeit, Ruhr University Bochum, Germany

@mastersthesis{Noth2007, author = {Noth, Sebastian}, title = {Development of an approach to component based object classification}, school = {Ruhr University Bochum, Germany}, type = {Diplomarbeit}, year = {2007}, }

Noth, S. (2007). Development of an approach to component based object classification. Diplomarbeit, Ruhr University Bochum, Germany.
Echtzeitfähige und robuste Erkennung von Verkehrszeichen in Videosequenzen mit Hilfe von Haar-Merkmalen
Schlipsing, M.
Diplomarbeit, Ruhr University Bochum, Germany

@mastersthesis{Schlipsing2007, author = {Schlipsing, Marc}, title = {Echtzeitfähige und robuste Erkennung von Verkehrszeichen in Videosequenzen mit Hilfe von Haar-Merkmalen}, school = {Ruhr University Bochum, Germany}, type = {Diplomarbeit}, year = {2007}, }

Schlipsing, M. (2007). Echtzeitfähige und robuste Erkennung von Verkehrszeichen in Videosequenzen mit Hilfe von Haar-Merkmalen. Diplomarbeit, Ruhr University Bochum, Germany.
Entwicklung und Untersuchung von Verfahren zur hierarchischen Erkennung von Verkehrszeichen in Videobildern
Schwede, C.
Diplomarbeit, Ruhr University Bochum, Germany

@mastersthesis{Schwede2007, author = {Schwede, Christian}, title = {Entwicklung und Untersuchung von Verfahren zur hierarchischen Erkennung von Verkehrszeichen in Videobildern}, school = {Ruhr University Bochum, Germany}, type = {Diplomarbeit}, year = {2007}, }

Schwede, C. (2007). Entwicklung und Untersuchung von Verfahren zur hierarchischen Erkennung von Verkehrszeichen in Videobildern. Diplomarbeit, Ruhr University Bochum, Germany.

2006

Entwicklung und Optimierung eines echtzeitfähigen Systems zur Verkehrszeichenerkennung
Salmen, J.
Diplomarbeit, Ruhr University Bochum, Germany

@mastersthesis{Salmen2006, author = {Salmen, Jan}, title = {Entwicklung und Optimierung eines echtzeitfähigen Systems zur Verkehrszeichenerkennung}, school = {Ruhr University Bochum, Germany}, type = {Diplomarbeit}, year = {2006}, }

Salmen, J. (2006). Entwicklung und Optimierung eines echtzeitfähigen Systems zur Verkehrszeichenerkennung. Diplomarbeit, Ruhr University Bochum, Germany.

About the INI

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

Contact

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210

sekretariat@ini.rub.de
www.ini.rub.de