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
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6DoF Vehicle Pose Estimation Using Segmentation-Based Part CorrespondencesBarowski, T., Szczot, M., & Houben, S.In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 573–580)
@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).Team NimbRo at MBZIRC 2017: Fast Landing on a Moving Target and Treasure Hunting with a Team of MAVsBeul, 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@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 systemHouben, S., Neuhausen, M., Michael, M., Kesten, R., Mickler, F., & Schuller, F.Journal of Real-Time Image Processing, 16(2), 289–304@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 OcclusionsMichael, M., Horn, D., & Houben, S.In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 1417–1424)@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).Autonomous MAV-based Indoor Chimney Inspection with 3D Laser Localization and Textured Surface ReconstructionQuenzel, J., Nieuwenhuisen, M., Droeschel, D., Beul, M., Houben, S., & Behnke, S.In Journal of Intelligent & Robotic Systems (JINT) (Vol. 93, pp. 317–335)@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 NetworksSpata, D., Horn, D., & Houben, S.In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 622–628)@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 DrivingBarowski, 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 ApplicationsBeul, 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)@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 ClassificationHorn, D., & Houben, S.In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 2157–2162)@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 ComputersehensHorn, 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 SLAMKrombach, N., Droeschel, D., Houben, S., & Behnke, S.In Robotics and Autonomous Systems (RAS) (Vol. 109, pp. 38–58) Elsevier@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 CorrectionQuenzel, 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@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 MBZIRCBeul, M., Houben, S., Nieuwenhuisen, M., & Behnke, S.In Proceedings of the European Conference on Mobile Robots (ECMR)@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.2017.8098669Collaborative object picking and delivery with a team of micro aerial vehicles at mbzircNieuwenhuisen, 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)@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 ReconstructionNieuwenhuisen, M., Quenzel, J., Beul, M., Droeschel, D., Houben, S., & Behnke, S.Proceedings of International Conference on Unmanned Aircraft Systems (ICUAS)@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 vehicleHouben, S., Droeschel, D., & Behnke, S.In Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 609–614)@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 vehiclesHouben, S., Quenzel, J., Krombach, N., & Behnke, S.In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1616–1622)@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 arrayHouben, S.In Video Surveillance and Transportation Imaging Applications International Society for Optics and Photonics@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 garageIbisch, 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 cameraHouben, S.In Proceedings of the IEEE Intelligent Vehicles Symposium Proceedings (pp. 878–883)@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 systemIbisch, 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 estimationCaup, L., Salmen, J., Muharemovic, I., & Houben, S.In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 1179–1184)@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 opticsHouben, S., Komar, M., Hohm, A., Luke, S., Neuhausen, M., & Schlipsing, M.In 16th International IEEE Conference on Intelligent Transportation Systems (ITSC) (pp. 7–12)@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 BenchmarkHouben, S., Stallkamp, J., Salmen, J., Schlipsing, M., & Igel, C.In Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN) (pp. 1–8)@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 systemsSalmen, J., Houben, S., & Schlipsing, M.In Proceedings of the Intelligent Vehicles Symposium (IV), 2012 IEEE (pp. 891–895) IEEE@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 detectionHouben, S.In Proceedings of the Intelligent Vehicles Symposium (IV) (pp. 124–129)@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).accepted
Fully Automated Traffic Sign Substitution in Real-World Images for Large-Scale Data AugmentationHorn, D., & Houben, S.In Proceedings of the IEEE Intelligent Vehicles Symposium (IV)@inproceedings{HornHouben0, 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)}, year = {accepted}, }Horn, D., & Houben, S.. (accepted). Fully Automated Traffic Sign Substitution in Real-World Images for Large-Scale Data Augmentation. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV).Winter Term 2019/2020
Lectures Computer Vision: Deep Learning Lab courses Intensive Course C++ 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 -
Fußgängerdetektion im autonomen Fahren durch für Menschengruppen optimierte Ansätze in tiefen neuronalen NetzenCzech, 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 LearningPeredo 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-ArtikelnYekta, 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 KamerasBrauksiepe, 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 KamerasEschbach, 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 FahrzeugdetektionPetrow, K.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany
2020