| An Improved Algorithm for TV-L 1 Optical Flow A Wedel, T Pock, C Zach, H Bischof, D Cremers Statistical and Geometrical Approaches to Visual Motion Analysis …, 2009 | 635 | 2009 |
| Anisotropic Huber-L1 Optical Flow. M Werlberger, W Trobin, T Pock, A Wedel, D Cremers, H Bischof BMVC 1 (2), 3, 2009 | 545 | 2009 |
| Object-oriented Bayesian networks for detection of lane change maneuvers D Kasper, G Weidl, T Dang, G Breuel, A Tamke, A Wedel, W Rosenstiel IEEE Intelligent Transportation Systems Magazine 4 (3), 19-31, 2012 | 303 | 2012 |
| Structure-and motion-adaptive regularization for high accuracy optic flow A Wedel, D Cremers, T Pock, H Bischof 2009 IEEE 12th International Conference on Computer Vision, 1663-1668, 2009 | 254 | 2009 |
| Efficient dense scene flow from sparse or dense stereo data A Wedel, C Rabe, T Vaudrey, T Brox, U Franke, D Cremers Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 252 | 2008 |
| Stereoscopic scene flow computation for 3D motion understanding A Wedel, T Brox, T Vaudrey, C Rabe, U Franke, D Cremers International Journal of Computer Vision 95, 29-51, 2011 | 217 | 2011 |
| B-spline modeling of road surfaces with an application to free-space estimation A Wedel, H Badino, C Rabe, H Loose, U Franke, D Cremers IEEE transactions on Intelligent transportation systems 10 (4), 572-583, 2009 | 159 | 2009 |
| A lane change detection approach using feature ranking with maximized predictive power J Schlechtriemen, A Wedel, J Hillenbrand, G Breuel, KD Kuhnert 2014 IEEE Intelligent Vehicles Symposium Proceedings, 108-114, 2014 | 158 | 2014 |
| When will it change the lane? A probabilistic regression approach for rarely occurring events J Schlechtriemen, F Wirthmueller, A Wedel, G Breuel, KD Kuhnert 2015 IEEE Intelligent Vehicles Symposium (IV), 1373-1379, 2015 | 154 | 2015 |
| Moving object segmentation using optical flow and depth information J Klappstein, T Vaudrey, C Rabe, A Wedel, R Klette Advances in Image and Video Technology: Third Pacific Rim Symposium, PSIVT …, 2009 | 146 | 2009 |
| Dense, robust, and accurate motion field estimation from stereo image sequences in real-time C Rabe, T Müller, A Wedel, U Franke Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 144 | 2010 |
| Stereo scene flow for 3D motion analysis A Wedel, D Cremers Springer Science & Business Media, 2011 | 100 | 2011 |
| Duality TV-L1 flow with fundamental matrix prior A Wedel, T Pock, J Braun, U Franke, D Cremers 2008 23rd international conference image and vision computing New Zealand, 1-6, 2008 | 94 | 2008 |
| Detection and segmentation of independently moving objects from dense scene flow A Wedel, A Meißner, C Rabe, U Franke, D Cremers International Workshop on Energy Minimization Methods in Computer Vision and …, 2009 | 86 | 2009 |
| Realtime depth estimation and obstacle detection from monocular video A Wedel, U Franke, J Klappstein, T Brox, D Cremers Joint Pattern Recognition Symposium, 475-484, 2006 | 82 | 2006 |
| B-spline modeling of road surfaces for freespace estimation A Wedel, U Franke, H Badino, D Cremers 2008 IEEE Intelligent Vehicles Symposium, 828-833, 2008 | 54 | 2008 |
| Warpcut–fast obstacle segmentation in monocular video A Wedel, T Schoenemann, T Brox, D Cremers Joint Pattern Recognition Symposium, 264-273, 2007 | 38 | 2007 |
| Statistical and geometrical approaches to visual motion analysis A Wedel, T Pock, C Zach, H Bischof, D Cremers Berlin, Heidelberg, 23-45, 2009 | 34 | 2009 |
| A probabilistic long term prediction approach for highway scenarios J Schlechtriemen, A Wedel, G Breuel, KD Kuhnert 17th International IEEE Conference on Intelligent Transportation Systems …, 2014 | 28 | 2014 |
| Monocular video serves radar-based emergency braking A Wedel, U Franke 2007 IEEE Intelligent Vehicles Symposium, 93-98, 2007 | 20 | 2007 |
Daniel CremersTechnical University of MunichVerified email at tum.de
