| Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark S Houben, J Stallkamp, J Salmen, M Schlipsing, C Igel The 2013 international joint conference on neural networks (IJCNN), 1-8, 2013 | 1258 | 2013 |
| Fast autonomous flight in warehouses for inventory applications M Beul, D Droeschel, M Nieuwenhuisen, J Quenzel, S Houben, S Behnke IEEE Robotics and Automation Letters 3 (4), 3121-3128, 2018 | 109 | 2018 |
| A single target voting scheme for traffic sign detection S Houben 2011 IEEE intelligent vehicles symposium (IV), 124-129, 2011 | 105 | 2011 |
| Inspect, understand, overcome: A survey of practical methods for ai safety S Houben, S Abrecht, M Akila, A Bär, F Brockherde, P Feifel, ... Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022 | 72 | 2022 |
| Mechanical properties of bare and protein-coated giant unilamellar phospholipid vesicles. A comparative study of micropipet aspiration and atomic force microscopy S Dieluweit, A Csiszár, W Rubner, J Fleischhauer, S Houben, R Merkel Langmuir 26 (13), 11041-11049, 2010 | 70 | 2010 |
| Team NimbRo at MBZIRC 2017: Fast landing on a moving target and treasure hunting with a team of micro aerial vehicles M Beul, M Nieuwenhuisen, J Quenzel, RA Rosu, J Horn, D Pavlichenko, ... Journal of Field Robotics 36 (1), 204-229, 2019 | 53 | 2019 |
| Efficient multi-camera visual-inertial SLAM for micro aerial vehicles S Houben, J Quenzel, N Krombach, S Behnke 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 48 | 2016 |
| Feature-based visual odometry prior for real-time semi-dense stereo SLAM N Krombach, D Droeschel, S Houben, S Behnke Robotics and Autonomous Systems 109, 38-58, 2018 | 47 | 2018 |
| Autonomous MAV-based indoor chimney inspection with 3D laser localization and textured surface reconstruction J Quenzel, M Nieuwenhuisen, D Droeschel, M Beul, S Houben, S Behnke Journal of Intelligent & Robotic Systems 93 (1), 317-335, 2019 | 45 | 2019 |
| On-vehicle video-based parking lot recognition with fisheye optics S Houben, M Komar, A Hohm, S Lüke, M Neuhausen, M Schlipsing 16th International IEEE Conference on Intelligent Transportation Systems …, 2013 | 44 | 2013 |
| Explainable machine learning with prior knowledge: an overview K Beckh, S Müller, M Jakobs, V Toborek, H Tan, R Fischer, P Welke, ... arXiv preprint arXiv:2105.10172, 2021 | 40 | 2021 |
| Google street view images support the development of vision-based driver assistance systems J Salmen, S Houben, M Schlipsing 2012 IEEE Intelligent Vehicles Symposium, 891-895, 2012 | 37 | 2012 |
| The key feature for early migratory processes: Dependence of adhesion, actin bundles, force generation and transmission on filopodia C Schäfer, S Born, C Möhl, S Houben, N Kirchgeßner, R Merkel, ... Cell adhesion & migration 4 (2), 215-225, 2010 | 36 | 2010 |
| Substrate, focal adhesions, and actin filaments: a mechanical unit with a weak spot for mechanosensitive proteins D Kirchenbüchler, S Born, N Kirchgessner, S Houben, B Hoffmann, ... Journal of Physics: Condensed Matter 22 (19), 194109, 2010 | 32 | 2010 |
| Collaborative object picking and delivery with a team of micro aerial vehicles at MBZIRC M Nieuwenhuisen, M Beul, RA Rosu, J Quenzel, D Pavlichenko, ... 2017 European conference on mobile robots (ECMR), 1-6, 2017 | 30 | 2017 |
| Deep neural networks and data for automated driving: Robustness, uncertainty quantification, and insights towards safety T Fingscheidt, H Gottschalk, S Houben Springer Nature, 2022 | 29 | 2022 |
| Fast Autonomous Landing on a Moving Target at MBZIRC M Beul, S Houben, M Nieuwenhuisen, S Behnke Proceedings of the European Conference on Mobile Robots (ECMR), 1-6, 0 | 29* | |
| Video-based trailer detection and articulation estimation L Caup, J Salmen, I Muharemovic, S Houben 2013 IEEE Intelligent Vehicles Symposium (IV), 1179-1184, 2013 | 28 | 2013 |
| Park marking-based vehicle self-localization with a fisheye topview system S Houben, M Neuhausen, M Michael, R Kesten, F Mickler, F Schuller Journal of Real-Time Image Processing 16 (2), 289-304, 2019 | 23 | 2019 |
| Leitfaden zur Gestaltung vertrauenswürdiger Künstlicher Intelligenz (KI-Prüfkatalog) M Poretschkin, A Schmitz, M Akila, L Adilova, D Becker, AB Cremers, ... Fraunhofer IAIS, 2021 | 20 | 2021 |
Sven BehnkeProfessor for Autonomous Intelligent Systems, Computer Science Institute, University of BonnVerified email at cs.uni-bonn.de
