Jun.-Prof. Dr. Sebastian Houben

RUB
INI
People
Jun.-Prof. Dr. Sebastian Houben

sebastian.houben@ini.rub.de (+49) 234-32-25567

Theory of Cognitive Systems

Institut für Neuroinformatik
Ruhr-Universität Bochum
Universitätsstraße 150
Building NB, Room NB 3/69

D-44801 Bochum, Germany

(+49) 234-32-25567

If you are interested in writing a thesis in the field of Real-time Computer Vision, in particular in the area of video-based driver assistance, please contact us via email.

CV

since 2017	Junior Professor	Institut für Neuroinformatik, Ruhr-Universität Bochum
2015 — 2017	Postdoctoral Researcher	Autonomous Intelligent Systems Group, University of Bonn
2014 — 2015	Head of Group	Institut für Neuroinformatik, Ruhr-Universität Bochum
2010 — 2014	Research Member	Institut für Neuroinformatik, Ruhr-Universität Bochum
2007 — 2010	Research Member	Institute of Bio and Nanosystems, Research Center Jülich
2007 — 2009	Diploma in Mathematics	University of Hagen
2004 — 2007	Mathematical-Technical Assistant	Institute of Bio and Nanosystems, Research Center Jülich

Interests of research

Real-time Vision Systems for Driver-assistance
Visual Simultaneous Localization and Mapping
Geometry in Scene Analysis
Wide-angle Cameras
Real-time Stereo Vision
The German Traffic Sign Benchmark

Publications

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), accepted

@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), accepted}, 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), accepted.
Team NimbRo at MBZIRC 2017: Fast Landing on a Moving Target and Treasure Hunting with a Team of MAVs
Beul, M., Nieuwenhuisen, M., Quenzel, J., Rosu, R. A., Horn, J., Pavlichenko, D., et al.
In Journal of Field Robotics (JFR) 36(1):204-229, Wiley, January 2019

Video (external link) pdf

@inproceedings{BeulNieuwenhuisenQuenzelEtAl2019, author = {Beul, Marius and Nieuwenhuisen, Matthias and Quenzel, Jan and Rosu, Radu Alexandru and Horn, Jannis and Pavlichenko, Dmytro and Houben, Sebastian and Behnke, Sven}, title = {Team NimbRo at MBZIRC 2017: Fast Landing on a Moving Target and Treasure Hunting with a Team of MAVs}, booktitle = {Journal of Field Robotics (JFR) 36(1):204-229, Wiley, January 2019}, year = {2019}, }

Beul, M., Nieuwenhuisen, M., Quenzel, J., Rosu, R. A., Horn, J., Pavlichenko, D., et al. (2019). Team NimbRo at MBZIRC 2017: Fast Landing on a Moving Target and Treasure Hunting with a Team of MAVs. In Journal of Field Robotics (JFR) 36(1):204-229, Wiley, January 2019.
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), accepted

@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), accepted}, 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), accepted.
Autonomous MAV-based Indoor Chimney Inspection with 3D Laser Localization and Textured Surface Reconstruction
Quenzel, J., Nieuwenhuisen, M., Droeschel, D., Beul, M., Houben, S., & Behnke, S.
In Journal of Intelligent & Robotic Systems (JINT) (Vol. 93, pp. 317–335)

Video (external link) pdf

@inproceedings{QuenzelNieuwenhuisenDroeschelEtAl2019, author = {Quenzel, Jan and Nieuwenhuisen, Matthias and Droeschel, David and Beul, Marius and Houben, Sebastian and Behnke, Sven}, title = {Autonomous MAV-based Indoor Chimney Inspection with 3D Laser Localization and Textured Surface Reconstruction}, booktitle = {Journal of Intelligent & Robotic Systems (JINT)}, pages = {317–335}, volume = {93}, year = {2019}, }

Quenzel, J., Nieuwenhuisen, M., Droeschel, D., Beul, M., Houben, S., & Behnke, S. (2019). Autonomous MAV-based Indoor Chimney Inspection with 3D Laser Localization and Textured Surface Reconstruction. In Journal of Intelligent & Robotic Systems (JINT) (Vol. 93, pp. 317–335).
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).
Fast Autonomous Flight in Warehouses for Inventory Applications
Beul, M., Droeschel, D., Nieuwenhuisen, M., Quenzel, J., Houben, S., & Behnke, S.
In IEEE Robotics and Automation Letters (RA-L), Accepted for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Video (external link) pdf

@inproceedings{BeulDroeschelNieuwenhuisenEtAl2018, author = {Beul, Marius and Droeschel, David and Nieuwenhuisen, Matthias and Quenzel, Jan and Houben, Sebastian and Behnke, Sven}, title = {Fast Autonomous Flight in Warehouses for Inventory Applications}, booktitle = {IEEE Robotics and Automation Letters (RA-L), Accepted for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, year = {2018}, }

Beul, M., Droeschel, D., Nieuwenhuisen, M., Quenzel, J., Houben, S., & Behnke, S. (2018). Fast Autonomous Flight in Warehouses for Inventory Applications. In IEEE Robotics and Automation Letters (RA-L), Accepted for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.
Feature-based Visual Odometry Prior for Real-time Semi-dense Stereo SLAM
Krombach, N., Droeschel, D., Houben, S., & Behnke, S.
In Robotics and Autonomous Systems (RAS) (Vol. 109, pp. 38–58) Elsevier

pdf

@inproceedings{KrombachDroeschelHoubenEtAl2018, author = {Krombach, Nicola and Droeschel, David and Houben, Sebastian and Behnke, Sven}, title = {Feature-based Visual Odometry Prior for Real-time Semi-dense Stereo SLAM}, booktitle = {Robotics and Autonomous Systems (RAS)}, pages = {38–58}, publisher = {Elsevier}, volume = {109}, year = {2018}, }

Krombach, N., Droeschel, D., Houben, S., & Behnke, S. (2018). Feature-based Visual Odometry Prior for Real-time Semi-dense Stereo SLAM. In Robotics and Autonomous Systems (RAS) (Vol. 109, pp. 38–58). Elsevier.
Keyframe-based Photometric Online Calibration and Color Correction
Quenzel, J., Horn, J., Houben, S., & Behnke, S.
In Accepted for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, to appear October 2018

pdf Video (external link)

@inproceedings{QuenzelHornHoubenEtAl2018, author = {Quenzel, Jan and Horn, Jannis and Houben, Sebastian and Behnke, Sven}, title = {Keyframe-based Photometric Online Calibration and Color Correction}, booktitle = {Accepted for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, to appear October 2018}, year = {2018}, }

Quenzel, J., Horn, J., Houben, S., & Behnke, S. (2018). Keyframe-based Photometric Online Calibration and Color Correction. In Accepted for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, to appear October 2018.

2017

Fast autonomous landing on a moving target at MBZIRC
Beul, M., Houben, S., Nieuwenhuisen, M., & Behnke, S.
In Proceedings of the European Conference on Mobile Robots (ECMR)

Paper Video (external link)

@inproceedings{BeulHoubenNieuwenhuisenEtAl2017, author = {Beul, Marius and Houben, Sebastian and Nieuwenhuisen, Matthias and Behnke, Sven}, title = {Fast autonomous landing on a moving target at MBZIRC}, booktitle = {Proceedings of the European Conference on Mobile Robots (ECMR)}, month = {September}, year = {2017}, doi = {10.1109/ecmr.2017.8098669}, }

Beul, M., Houben, S., Nieuwenhuisen, M., & Behnke, S. (2017). Fast autonomous landing on a moving target at MBZIRC. In Proceedings of the European Conference on Mobile Robots (ECMR). http://doi.org/10.1109/ecmr.2017.8098669
Collaborative object picking and delivery with a team of micro aerial vehicles at mbzirc
Nieuwenhuisen, M., Beul, M., Rosu, R. A., Quenzel, J., Pavlichenko, D., Houben, S., & Behnke, S.
In Proceedings of the European Conference on Mobile Robots (ECMR) (pp. 1–6)

pdf Video (external link)

@inproceedings{NieuwenhuisenBeulRosuEtAl2017, author = {Nieuwenhuisen, Matthias and Beul, Marius and Rosu, Radu Alexandru and Quenzel, Jan and Pavlichenko, Dmytro and Houben, Sebastian and Behnke, Sven}, title = {Collaborative object picking and delivery with a team of micro aerial vehicles at mbzirc}, booktitle = {Proceedings of the European Conference on Mobile Robots (ECMR)}, pages = {1–6}, year = {2017}, }

Nieuwenhuisen, M., Beul, M., Rosu, R. A., Quenzel, J., Pavlichenko, D., Houben, S., & Behnke, S. (2017). Collaborative object picking and delivery with a team of micro aerial vehicles at mbzirc. In Proceedings of the European Conference on Mobile Robots (ECMR) (pp. 1–6).
ChimneySpector: Autonomous MAV-based Indoor Chimney Inspection Employing 3D Laser Localization and Textured Surface Reconstruction
Nieuwenhuisen, M., Quenzel, J., Beul, M., Droeschel, D., Houben, S., & Behnke, S.
Proceedings of International Conference on Unmanned Aircraft Systems (ICUAS)

pdf Video (external link)

@article{NieuwenhuisenQuenzelBeulEtAl2017, author = {Nieuwenhuisen, Matthias and Quenzel, Jan and Beul, Marius and Droeschel, David and Houben, Sebastian and Behnke, Sven}, title = {ChimneySpector: Autonomous MAV-based Indoor Chimney Inspection Employing 3D Laser Localization and Textured Surface Reconstruction}, year = {2017}, }

Nieuwenhuisen, M., Quenzel, J., Beul, M., Droeschel, D., Houben, S., & Behnke, S. (2017). ChimneySpector: Autonomous MAV-based Indoor Chimney Inspection Employing 3D Laser Localization and Textured Surface Reconstruction. Proceedings of International Conference on Unmanned Aircraft Systems (ICUAS).

2016

Joint 3D laser and visual fiducial marker based SLAM for a micro aerial vehicle
Houben, S., Droeschel, D., & Behnke, S.
In Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 609–614)

pdf

@inproceedings{HoubenDroeschelBehnke2016, author = {Houben, Sebastian and Droeschel, David and Behnke, Sven}, title = {Joint 3D laser and visual fiducial marker based SLAM for a micro aerial vehicle}, booktitle = {Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)}, pages = {609–614}, year = {2016}, }

Houben, S., Droeschel, D., & Behnke, S. (2016). Joint 3D laser and visual fiducial marker based SLAM for a micro aerial vehicle. In Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 609–614).
Efficient multi-camera visual-inertial SLAM for micro aerial vehicles
Houben, S., Quenzel, J., Krombach, N., & Behnke, S.
In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1616–1622)

pdf Video

@inproceedings{HoubenQuenzelKrombachEtAl2016, author = {Houben, Sebastian and Quenzel, Jan and Krombach, Nicola and Behnke, Sven}, title = {Efficient multi-camera visual-inertial SLAM for micro aerial vehicles}, booktitle = {Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, pages = {1616–1622}, year = {2016}, }

Houben, S., Quenzel, J., Krombach, N., & Behnke, S. (2016). Efficient multi-camera visual-inertial SLAM for micro aerial vehicles. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1616–1622).

2015

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.

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).

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).

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.

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).

Summer Term 2019

Lab courses	Computer Vision: Deep Learning Lab Course
Lectures	Computersehen: Einführung

Winter Term 2018/2019

Lectures	Deep Learning for Computer Vision
Lab courses	Intensive Course C++

Summer Term 2018

Lectures	Digital Image Processing
Lab courses	Intensive Course C++
Lab courses	Introduction to Deep Learning for Computer Vision

Winter Term 2017/2018

Lab courses	Intensive Course C++
Lab courses	Introduction to Deep Learning for Computer Vision
Lab courses	Programming Applications in C++

Summer Term 2015

Lab courses	Computer Vision
Lectures	Digital Image Processing
Lab courses	Intensive Course C++

Winter Term 2014/2015

Lab courses

Computer Vision

2019

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.
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.
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

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.
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.

2014

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.

2013

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

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.
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.

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