Jun.-Prof. Dr. Sebastian Houben

Institut für Neuroinformatik
Ruhr-Universität Bochum
Universitätsstraße 150
Building NB, Room NB 3/69
D-44801 Bochum
Germany
Theory of Cognitive Systems

Groups

 

 

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
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

Teaching activities

Quenzel, J., Nieuwenhuisen, M., Droeschel, D., Beul, M., Houben, S., & Behnke, S. (2018). Autonomous MAV-based Indoor Chimney Inspection with 3D Laser Localization and Textured Surface Reconstruction. In Journal of Intelligent & Robotic Systems (JINT), Springer, to appear April 2018.
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
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).
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).
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).
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).
Houben, S., Neuhausen, M., Michael, M., Kesten, R., Mickler, F., & Schuller, F. (2015). Park marking-based vehicle self-localization with a fisheye topview system. Journal of Real-Time Image Processing, 1–16.
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.
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).
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).
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).
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).
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).
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.
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 2018
LecturesDigital Image Processing
Lab coursesIntensive Course C++
Lab coursesIntroduction to Deep Learning for Computer Vision
Winter Term 2017/2018
Lab coursesIntensive Course C++
Lab coursesIntroduction to Deep Learning for Computer Vision
Lab coursesProgramming Applications in C++
Summer Term 2015
Lab coursesComputer Vision
LecturesDigital Image Processing
Lab coursesIntensive Course C++
Winter Term 2014/2015
Lab coursesComputer Vision