| Scalability in perception for autonomous driving: Waymo open dataset P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 1505 | 2020 |
| Socially compliant mobile robot navigation via inverse reinforcement learning H Kretzschmar, M Spies, C Sprunk, W Burgard The International Journal of Robotics Research (IJRR), 2016 | 425 | 2016 |
| Feature-Based Prediction of Trajectories for Socially Compliant Navigation M Kuderer, H Kretzschmar, C Sprunk, W Burgard Robotics: Science and Systems (RSS), 2012 | 288 | 2012 |
| Block-nerf: Scalable large scene neural view synthesis M Tancik, V Casser, X Yan, S Pradhan, B Mildenhall, PP Srinivasan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 157 | 2022 |
| Information-theoretic compression of pose graphs for laser-based SLAM H Kretzschmar, C Stachniss The International Journal of Robotics Research (IJRR) 31 (11), 1219-1230, 2012 | 129 | 2012 |
| Learning to predict trajectories of cooperatively navigating agents H Kretzschmar, M Kuderer, W Burgard 2014 IEEE international conference on robotics and automation (ICRA), 4015-4020, 2014 | 102 | 2014 |
| Cyclist hand signal detection by an autonomous vehicle H Kretzschmar, J Zhu US Patent 9,014,905, 2015 | 96 | 2015 |
| Efficient information-theoretic graph pruning for graph-based SLAM with laser range finders H Kretzschmar, C Stachniss, G Grisetti Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International …, 2011 | 77 | 2011 |
| Just pick a sign: Optimizing deep multitask models with gradient sign dropout Z Chen, J Ngiam, Y Huang, T Luong, H Kretzschmar, Y Chai, D Anguelov Advances in Neural Information Processing Systems 33, 2039-2050, 2020 | 75 | 2020 |
| Teaching mobile robots to cooperatively navigate in populated environments M Kuderer, H Kretzschmar, W Burgard 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 65 | 2013 |
| Learning manipulation actions from a few demonstrations N Abdo, H Kretzschmar, L Spinello, C Stachniss 2013 IEEE International Conference on Robotics and Automation, 1268-1275, 2013 | 65 | 2013 |
| Surfelgan: Synthesizing realistic sensor data for autonomous driving Z Yang, Y Chai, D Anguelov, Y Zhou, P Sun, D Erhan, S Rafferty, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 60 | 2020 |
| Online generation of homotopically distinct navigation paths M Kuderer, C Sprunk, H Kretzschmar, W Burgard 2014 IEEE International Conference on Robotics and Automation (ICRA), 6462-6467, 2014 | 51 | 2014 |
| Identifying vegetation from laser data in structured outdoor environments KM Wurm, H Kretzschmar, R Kümmerle, C Stachniss, W Burgard Robotics and Autonomous Systems 62 (5), 675-684, 2014 | 50 | 2014 |
| Accurate human motion capture in large areas by combining IMU-and laser-based people tracking J Ziegler, H Kretzschmar, C Stachniss, G Grisetti, W Burgard 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 86-91, 2011 | 47 | 2011 |
| Lifelong map learning for graph-based SLAM in static environments H Kretzschmar, G Grisetti, C Stachniss KI-Künstliche Intelligenz 24 (3), 199-206, 2010 | 38 | 2010 |
| Pose graph compression for laser-based SLAM C Stachniss, H Kretzschmar Robotics Research, 271-287, 2017 | 21 | 2017 |
| Deploying artificial landmarks to foster data association in simultaneous localization and mapping M Beinhofer, H Kretzschmar, W Burgard 2013 IEEE International Conference on Robotics and Automation, 5235-5240, 2013 | 21 | 2013 |
| Pose Graph Compression for Laser-Based SLAM C Stachniss, H Kretzschmar International Symposium of Robotics Research (ISRR), 2011 | 21* | 2011 |
| Learning to give route directions from human demonstrations S Oßwald, H Kretzschmar, W Burgard, C Stachniss 2014 IEEE International Conference on Robotics and Automation (ICRA), 3303-3308, 2014 | 19 | 2014 |
Dragomir AnguelovDistinguished Researcher, WaymoVerified email at cs.stanford.edu
