Henrik Kretzschmar

Most-cited papers

Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard +21 more
2019Computer Vision and Pattern Recognition4,588 citations Open access
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Block-NeRF: Scalable Large Scene Neural View Synthesis
Matthew Tancik, Vincent Casser, Xin-Chen Yan, Sabeek Pradhan +4 more
2022Computer Vision and Pattern Recognition1,157 citations Open access
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Socially compliant mobile robot navigation via inverse reinforcement learning
Henrik Kretzschmar, Markus Spies, Christoph Sprunk, Wolfram Burgard
2016Int. J. Robotics Res.519 citations
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Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
Zhao Chen, J. Ngiam, Yan-Ping Huang, Thang Luong +3 more
2020Neural Information Processing Systems316 citations
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Feature-Based Prediction of Trajectories for Socially Compliant Navigation
M. Kuderer, Henrik Kretzschmar, Christoph Sprunk, Wolfram Burgard
2012Robotics: Science and Systems Conference258 citations Open access
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SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving
Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou +4 more
2020Computer Vision and Pattern Recognition135 citations Open access
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Information-theoretic compression of pose graphs for laser-based SLAM
Henrik Kretzschmar, C. Stachniss
2012Int. J. Robotics Res.124 citations Open access
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Waymo Open Dataset: Panoramic Video Panoptic Segmentation
Jie-Ru Mei, A. Z. Zhu, Xin-Chen Yan, Han Yan +5 more
2022European Conference on Computer Vision99 citations Open access
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Learning to predict trajectories of cooperatively navigating agents
Henrik Kretzschmar, M. Kuderer, Wolfram Burgard
2014IEEE International Conference on Robotics and Automation91 citations
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CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection
Jyh-Jing Hwang, Henrik Kretzschmar, Joshua M. Manela, Sean M. Rafferty +3 more
2022European Conference on Computer Vision76 citations Open access
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Efficient information-theoretic graph pruning for graph-based SLAM with laser range finders
Henrik Kretzschmar, C. Stachniss, G. Grisetti
20112011 IEEE/RSJ International Conference on Intelligent Robots and Systems65 citations
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Learning manipulation actions from a few demonstrations
Nichola Abdo, Henrik Kretzschmar, Luciano Spinello, C. Stachniss
2013IEEE International Conference on Robotics and Automation54 citations
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Teaching mobile robots to cooperatively navigate in populated environments
M. Kuderer, Henrik Kretzschmar, Wolfram Burgard
20132013 IEEE/RSJ International Conference on Intelligent Robots and Systems52 citations
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Online generation of homotopically distinct navigation paths
M. Kuderer, Christoph Sprunk, Henrik Kretzschmar, Wolfram Burgard
2014IEEE International Conference on Robotics and Automation51 citations
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Identifying vegetation from laser data in structured outdoor environments
Kai M. Wurm, Henrik Kretzschmar, R. Kümmerle, C. Stachniss +1 more
2014Robotics Auton. Syst.44 citations Open access
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Accurate human motion capture in large areas by combining IMU- and laser-based people tracking
Jakob Ziegler, Henrik Kretzschmar, C. Stachniss, G. Grisetti +1 more
20112011 IEEE/RSJ International Conference on Intelligent Robots and Systems44 citations
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LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection
Wei-Chih Hung, Vincent Casser, Henrik Kretzschmar, Jyh-Jing Hwang +1 more
2022IEEE International Conference on Robotics and Automation40 citations Open access
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Scalability in Perception for Autonomous Driving: An Open Dataset Benchmark
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard +19 more
201934 citations
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Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking
Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li +10 more
2022IEEE International Conference on Robotics and Automation29 citations Open access
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Lifelong Map Learning for Graph-based SLAM in Static Environments
Henrik Kretzschmar, G. Grisetti, C. Stachniss
2010KI - Künstliche Intelligenz29 citations
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Superpixel Transformers for Efficient Semantic Segmentation
Alex Zhu, Jie-Ru Mei, Siyuan Qiao, Hang Yan +3 more
2023IEEE/RJS International Conference on Intelligent RObots and Systems21 citations Open access
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Learning to give route directions from human demonstrations
Stefan Oswald, Henrik Kretzschmar, Wolfram Burgard, C. Stachniss
2014IEEE International Conference on Robotics and Automation18 citations
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SoDA: Multi-Object Tracking with Soft Data Association
Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai +3 more
2020arXiv.org17 citations
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From Low-Level Trajectory Demonstrations to Symbolic Actions for Planning
Nichola Abdo, Henrik Kretzschmar, C. Stachniss
201217 citations
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Pose Graph Compression for Laser-Based SLAM
C. Stachniss, Henrik Kretzschmar
2011International Symposium of Robotics Research17 citations Open access
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Deploying artificial landmarks to foster data association in simultaneous localization and mapping
Maximilian Beinhofer, Henrik Kretzschmar, Wolfram Burgard
2013IEEE International Conference on Robotics and Automation11 citations
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Estimating landmark locations from geo-referenced photographs
Henrik Kretzschmar, C. Stachniss, Christian Plagemann, Wolfram Burgard
20082008 IEEE/RSJ International Conference on Intelligent Robots and Systems9 citations
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GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting
Zhao Chen, Vincent Casser, Henrik Kretzschmar, Dragomir Anguelov
2022arXiv.org6 citations
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Inferring Navigation Policies for Mobile Robots from Demonstrations
Henrik Kretzschmar, M. Kuderer, Wolfram Burgard
20134 citations
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Instance Segmentation with Cross-Modal Consistency
A. Z. Zhu, Vincent Casser, R. Mahjourian, Henrik Kretzschmar +1 more
2022IEEE/RJS International Conference on Intelligent RObots and Systems2 citations Open access
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Life-long Map Learning for Graph-based Simultaneous Localization and Mapping Diplomarbeit
Wolfram Burgard, Henrik Kretzschmar, G. Grisetti, Eidesstattliche Erklärung
20092 citations
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Learning probabilistic models for mobile robot navigation (Techniken zum maschinellen Lernen probabilistischer Modelle für die Navigation mit mobilen Robotern)
Henrik Kretzschmar
20141 citations
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Life-long Map Learning for Graph-based SLAM Approaches in Static Environments
Henrik Kretzschmar, G. Grisetti, C. Stachniss
20091 citations
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Learning Reactive Robot Navigation Policies from Predictive Trajectory Planning
Wolfram Burgard, Philipp Ruchti, Henrik Kretzschmar, M. Kuderer
20130 citations
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