Follow
Henrik Kretzschmar
Henrik Kretzschmar
Waymo, Google, University of Freiburg
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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
23572020
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
4982016
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
4832022
Feature-Based Prediction of Trajectories for Socially Compliant Navigation
M Kuderer, H Kretzschmar, C Sprunk, W Burgard
Robotics: Science and Systems (RSS), 2012
3132012
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
1562020
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
1392012
Cyclist hand signal detection by an autonomous vehicle
H Kretzschmar, J Zhu
US Patent 9,014,905, 2015
1092015
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
1072014
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
992020
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
802011
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
742013
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
672013
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
572014
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
512014
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
502011
Lifelong map learning for graph-based SLAM in static environments
H Kretzschmar, G Grisetti, C Stachniss
KI-Künstliche Intelligenz 24 (3), 199-206, 2010
402010
Waymo open dataset: Panoramic video panoptic segmentation
J Mei, AZ Zhu, X Yan, H Yan, S Qiao, LC Chen, H Kretzschmar
European Conference on Computer Vision, 53-72, 2022
312022
Cramnet: Camera-radar fusion with ray-constrained cross-attention for robust 3d object detection
JJ Hwang, H Kretzschmar, J Manela, S Rafferty, N Armstrong-Crews, ...
European Conference on Computer Vision, 388-405, 2022
282022
Pose graph compression for laser-based SLAM
C Stachniss, H Kretzschmar
Robotics Research, 271-287, 2017
212017
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
212014
The system can't perform the operation now. Try again later.
Articles 1–20