Andreas Wedel
Andreas Wedel
SW Engineering Lead
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Cited by
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
Anisotropic Huber-L1 Optical Flow.
M Werlberger, W Trobin, T Pock, A Wedel, D Cremers, H Bischof
BMVC 1 (2), 3, 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
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
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
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
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
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
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
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
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
Stereo scene flow for 3D motion analysis
A Wedel, D Cremers
Springer Science & Business Media, 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
Detection and segmentation of independently moving objects from dense scene flow
A Wedel, A Meißner, C Rabe, U Franke, D Cremers
Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th …, 2009
Realtime depth estimation and obstacle detection from monocular video
A Wedel, U Franke, J Klappstein, T Brox, D Cremers
Pattern Recognition: 28th DAGM Symposium, Berlin, Germany, September 12-14 …, 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
Warpcut–fast obstacle segmentation in monocular video
A Wedel, T Schoenemann, T Brox, D Cremers
Pattern Recognition: 29th DAGM Symposium, Heidelberg, Germany, September 12 …, 2007
Statistical and geometrical approaches to visual motion analysis
A Wedel, T Pock, C Zach, H Bischof, D Cremers
Berlin, Heidelberg, 23-45, 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
Monocular video serves radar-based emergency braking
A Wedel, U Franke
2007 IEEE Intelligent Vehicles Symposium, 93-98, 2007
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