Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather M Bijelic, T Gruber, F Mannan, F Kraus, W Ritter, K Dietmayer, F Heide Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 376 | 2020 |
Weather influence and classification with automotive lidar sensors R Heinzler, P Schindler, J Seekircher, W Ritter, W Stork 2019 IEEE intelligent vehicles symposium (IV), 1527-1534, 2019 | 208 | 2019 |
A benchmark for lidar sensors in fog: Is detection breaking down? M Bijelic, T Gruber, W Ritter 2018 IEEE Intelligent Vehicles Symposium (IV), 760-767, 2018 | 191 | 2018 |
Tracking non-rigid, moving objects based on color cluster flow B Heisele, U Kressel, W Ritter Proceedings of IEEE Computer Society Conference on Computer Vision and …, 1997 | 169 | 1997 |
A real-time traffic sign recognition system S Estable, J Schick, F Stein, R Janssen, R Ott, W Ritter, YJ Zheng Proceedings of the Intelligent Vehicles' 94 Symposium, 213-218, 1994 | 141 | 1994 |
Automotive LIDAR sensor development scenarios for harsh weather conditions M Kutila, P Pyykönen, W Ritter, O Sawade, B Schäufele 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 135 | 2016 |
Seeing around street corners: Non-line-of-sight detection and tracking in-the-wild using doppler radar N Scheiner, F Kraus, F Wei, B Phan, F Mannan, N Appenrodt, W Ritter, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 121 | 2020 |
Sensorfusion using spatio-temporal aligned video and lidar for improved vehicle detection M Mahlisch, R Schweiger, W Ritter, K Dietmayer 2006 IEEE Intelligent Vehicles Symposium, 424-429, 2006 | 120 | 2006 |
Hybrid approach for traffic sign recognition R Janssen, W Ritter, F Stein, S Ott Proceedings of the Intelligent Vehicles' 93 Symposium, 390-395, 1993 | 84 | 1993 |
Benchmarking image sensors under adverse weather conditions for autonomous driving M Bijelic, T Gruber, W Ritter 2018 IEEE Intelligent Vehicles Symposium (IV), 1773-1779, 2018 | 79 | 2018 |
A multiple detector approach to low-resolution FIR pedestrian recognition M Mahlisch, M Oberlander, O Lohlein, D Gavrila, W Ritter IEEE Proceedings. Intelligent Vehicles Symposium, 2005., 325-330, 2005 | 79 | 2005 |
Obstacle detection based on color blob flow B Heisele, W Ritter Proceedings of the Intelligent Vehicles' 95. Symposium, 282-286, 1995 | 76 | 1995 |
An adaptive system for traffic sign recognition YJ Zheng, W Ritter, R Janssen Proceedings of the Intelligent Vehicles' 94 Symposium, 165-170, 1994 | 76 | 1994 |
Traffic sign recognition in color image sequences W Ritter Proceedings of the Intelligent Vehicles92 Symposium, 12-17, 1992 | 64 | 1992 |
Traffic sign recognition using colour information W Ritter, F Stein, R Janssen Mathematical and computer modelling 22 (4-7), 149-161, 1995 | 63 | 1995 |
Reinforcing the reliability of pedestrian detection in far-infrared sensing U Meis, M Oberlander, W Ritter IEEE Intelligent Vehicles Symposium, 2004, 779-783, 2004 | 52 | 2004 |
Multiple cue data fusion with particle filters for road course detection in vision systems P Smuda, R Schweiger, H Neumann, W Ritter 2006 IEEE Intelligent Vehicles Symposium, 400-405, 2006 | 49 | 2006 |
Colour segmentation with polynomial classification N Bartneck, W Ritter 11th IAPR International Conference on Pattern Recognition. Vol. II …, 1992 | 48 | 1992 |
Seeing through fog without seeing fog: Deep sensor fusion in the absence of labeled training data M Bijelic, F Mannan, T Gruber, W Ritter, K Dietmayer, F Heide arXiv preprint arXiv:1902.08913 1030, 2019 | 46 | 2019 |
De-cluttering with integrated probabilistic data association for multisensor multitarget ACC vehicle tracking M Mählisch, W Ritter, K Dietmayer 2007 IEEE Intelligent Vehicles Symposium, 178-183, 2007 | 41 | 2007 |