| Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling S Ramos, S Gehrig, P Pinggera, U Franke, C Rother 2017 IEEE Intelligent Vehicles Symposium (IV), 1025-1032, 2017 | 366 | 2017 |
| A real-time low-power stereo vision engine using semi-global matching SK Gehrig, F Eberli, T Meyer International Conference on Computer Vision Systems, 134-143, 2009 | 340 | 2009 |
| 6d-vision: Fusion of stereo and motion for robust environment perception U Franke, C Rabe, H Badino, S Gehrig Joint Pattern Recognition Symposium, 216-223, 2005 | 299 | 2005 |
| Lost and found: detecting small road hazards for self-driving vehicles P Pinggera, S Ramos, S Gehrig, U Franke, C Rother, R Mester 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 202 | 2016 |
| Pushing the limits of stereo using variational stereo estimation R Ranftl, S Gehrig, T Pock, H Bischof 2012 IEEE intelligent vehicles symposium, 401-407, 2012 | 159 | 2012 |
| Collision avoidance for vehicle-following systems SK Gehrig, FJ Stein IEEE transactions on intelligent transportation systems 8 (2), 233-244, 2007 | 154 | 2007 |
| Exploiting the power of stereo confidences D Pfeiffer, S Gehrig, N Schneider Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 128 | 2013 |
| Dead reckoning and cartography using stereo vision for an autonomous car SK Gehrig, FJ Stein Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and …, 1999 | 127 | 1999 |
| Real-time semi-global matching on the CPU SK Gehrig, C Rabe 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 108 | 2010 |
| Fast detection of moving objects in complex scenarios C Rabe, U Franke, S Gehrig 2007 IEEE Intelligent Vehicles Symposium, 398-403, 2007 | 103 | 2007 |
| Improving sub-pixel accuracy for long range stereo F Gehrig VRML@ICCV, 2007 | 89* | 2007 |
| Stereo matching in the presence of sub-pixel calibration errors H Hirschmuller, S Gehrig 2009 IEEE Conference on Computer Vision and Pattern Recognition, 437-444, 2009 | 77 | 2009 |
| A trajectory-based approach for the lateral control of car following systems SK Gehrig, FJ Stein SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems …, 1998 | 76 | 1998 |
| Explicit and implicit belief-based gender discrimination: A hiring experiment K Barron, R Ditlmann, S Gehrig, S Schweighofer-Kodritsch Management Science 71 (2), 1600-1622, 2025 | 60 | 2025 |
| Large-field-of-view stereo for automotive applications SK Gehrig Proc. of OmniVis 1, 2005 | 55 | 2005 |
| Performance evaluation of stereo algorithms for automotive applications P Steingrube, SK Gehrig, U Franke International Conference on Computer Vision Systems, 285-294, 2009 | 54 | 2009 |
| Method for monitoring the interior and/or exterior of a vehicle, and a vehicle having at least one survaillance camera U Franke, S Gehrig, V Menjon, F Stein, A Wuerz-Wessel US Patent App. 10/462,530, 2004 | 49 | 2004 |
| Elastic bands to enhance vehicle following SK Gehrig, FJ Stein ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat …, 2001 | 47 | 2001 |
| Stereo vision-based detection of moving objects under strong camera motion H Badino, U Franke, C Rabe, S Gehrig International Conference on Computer Vision Theory and Applications 3, 253-260, 2006 | 43 | 2006 |
| Fair payments for effective environmental conservation L Loft, S Gehrig, C Salk, J Rommel Proceedings of the National Academy of Sciences 117 (25), 14094-14101, 2020 | 36 | 2020 |
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