| The cityscapes dataset for semantic urban scene understanding M Cordts, M Omran, S Ramos, T Rehfeld, M Enzweiler, R Benenson, ... Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 14143 | 2016 |
| The cityscapes dataset M Cordts, M Omran, S Ramos, T Scharwächter, M Enzweiler, R Benenson, ... CVPR Workshop on the Future of Datasets in Vision 2, 1, 2015 | 437 | 2015 |
| Efficient multi-cue scene segmentation T Scharwächter, M Enzweiler, U Franke, S Roth German Conference on Pattern Recognition, 435-445, 2013 | 136 | 2013 |
| Semantic stixels: Depth is not enough L Schneider, M Cordts, T Rehfeld, D Pfeiffer, M Enzweiler, U Franke, ... 2016 IEEE Intelligent Vehicles Symposium (IV), 110-117, 2016 | 110 | 2016 |
| Stixmantics: A medium-level model for real-time semantic scene understanding T Scharwächter, M Enzweiler, U Franke, S Roth Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 79 | 2014 |
| The stixel world: A medium-level representation of traffic scenes M Cordts, T Rehfeld, L Schneider, D Pfeiffer, M Enzweiler, S Roth, ... Image and Vision Computing 68, 40-52, 2017 | 50 | 2017 |
| Low-level fusion of color, texture and depth for robust road scene understanding T Scharwächter, U Franke 2015 IEEE Intelligent Vehicles Symposium (IV), 599-604, 2015 | 41 | 2015 |
| Fully convolutional neural networks for dynamic object detection in grid maps F Piewak, T Rehfeld, M Weber, JM Zöllner 2017 IEEE Intelligent Vehicles Symposium (IV), 392-398, 2017 | 29 | 2017 |
| Visual guard rail detection for advanced highway assistance systems T Scharwächter, M Schuler, U Franke 2014 IEEE Intelligent Vehicles Symposium Proceedings, 900-905, 2014 | 25 | 2014 |
| A real-time multi-cue framework for determining optical flow confidence SK Gehrig, T Scharwächter 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011 | 20 | 2011 |
| Tree-structured models for efficient multi-cue scene labeling M Cordts, T Rehfeld, M Enzweiler, U Franke, S Roth IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (7), 1444-1454, 2016 | 17 | 2016 |
| Holistic grid fusion based stop line estimation R Xu, F Tafazzoli, L Zhang, T Rehfeld, G Krehl, A Seal 2020 25th International Conference on Pattern Recognition (ICPR), 8400-8407, 2021 | 16 | 2021 |
| Hierarchical road topology learning for urban mapless driving L Zhang, F Tafazzoli, G Krehl, R Xu, T Rehfeld, M Schier, A Seal 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 13 | 2022 |
| Estimating high definition map parameters with convolutional neural networks S Bittel, T Rehfeld, M Weber, JM Zöllner 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 52-56, 2017 | 11 | 2017 |
| Environment estimation with dynamic grid maps and self-localizing tracklets A Vatavu, N Rexin, S Appel, T Berling, S Govindachar, G Krehl, J Peukert, ... 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 9 | 2018 |
| Sensor fusion-based online map validation for autonomous driving SR Bhavsar, A Vatavu, T Rehfeld, G Krehl 2020 IEEE Intelligent Vehicles Symposium (IV), 77-82, 2020 | 8 | 2020 |
| Spider-based Stixel object segmentation F Erbs, A Witte, T Scharwaechter, R Mester, U Franke 2014 IEEE Intelligent Vehicles Symposium Proceedings, 906-911, 2014 | 6 | 2014 |
| Stixel-Based Target Existence Estimation under Adverse Conditions T Scharwächter German Conference on Pattern Recognition, 225-230, 2013 | 2 | 2013 |
| Combining Appearance, Depth and Motion for Efficient Semantic Scene Understanding T Rehfeld Technische Universität Darmstadt, 2018 | | 2018 |
Stefan RothProfessor of Computer Science, TU Darmstadt在 visinf.tu-darmstadt.de 的電子郵件地址已通過驗證
