Henrik Kretzschmar

Henrik Kretzschmar, Markus Spies, Christoph Sprunk, and Wolfram Burgard
Socially Compliant Mobile Robot Navigation via Inverse Reinforcement Learning.
In The International Journal of Robotics Research (IJRR), 2016.
[PDF] [BibTeX]

Kai M. Wurm, Henrik Kretzschmar, Rainer Kümmerle, Cyrill Stachniss, and Wolfram Burgard
Identifying Vegetation from Laser Data in Structured Outdoor Environments.
In Robotics and Autonomous Systems (RAS), 2014, Volume 62, Issue 5, pp. 675-684.
[PDF] [BibTeX]

Henrik Kretzschmar and Cyrill Stachniss
Information-Theoretic Compression of Pose Graphs for Laser-Based SLAM.
In The International Journal of Robotics Research (IJRR), 2012, Volume 31, Issue 11, pp. 1219-1230.
[PDF] [BibTeX]

Videos: FHW, Intel, Fr079.

Henrik Kretzschmar, Giorgio Grisetti, and Cyrill Stachniss
Lifelong Map Learning for Graph-based SLAM in Static Environments.
In KI - Künstliche Intelligenz (KI), 2010, Volume 24, Issue 3, pp. 199-206.
[BibTeX]

Henrik Kretzschmar, Markus Kuderer, and Wolfram Burgard
Learning to Predict Trajectories of Cooperatively Navigating Agents.
In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, 2014.
[PDF] [BibTeX]

Stefan Oßwald, Henrik Kretzschmar, Wolfram Burgard, and Cyrill Stachniss
Learning to Give Route Directions from Human Demonstrations.
In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, 2014.
Best Cognitive Robotics Paper - Finalist.
[PDF] [BibTeX]

Markus Kuderer, Christoph Sprunk, Henrik Kretzschmar, and Wolfram Burgard
Online Generation of Homotopically Distinct Navigation Paths.
In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, 2014.
[PDF] [BibTeX]

Markus Kuderer, Henrik Kretzschmar, and Wolfram Burgard
Teaching Mobile Robots to Cooperatively Navigate in Populated Environments.
In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan, 2013.
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Maximilian Beinhofer, Henrik Kretzschmar, and Wolfram Burgard
Deploying Artificial Landmarks to Foster Data Association in Simultaneous Localization and Mapping.
In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, 2013.
[PDF] [BibTeX]

Nichola Abdo, Henrik Kretzschmar, Luciano Spinello, and Cyrill Stachniss
Learning Manipulation Actions from a Few Demonstrations.
In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, 2013.
[PDF] [BibTeX]

Markus Kuderer, Henrik Kretzschmar, Christoph Sprunk, and Wolfram Burgard
Feature-Based Prediction of Trajectories for Socially Compliant Navigation.
In Proc. of Robotics: Science and Systems (RSS), Sydney, Australia, 2012.
[PDF] [BibTeX]

Jakob Ziegler, Henrik Kretzschmar, Cyrill Stachniss, Giorgio Grisetti, and Wolfram Burgard
Accurate Human Motion Capture in Large Areas by Combining IMU- and Laser-Based People Tracking.
In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), San Francisco, CA, USA, 2011.
[PDF] [BibTeX]

Henrik Kretzschmar, Cyrill Stachniss, and Giorgio Grisetti
Efficient Information-Theoretic Graph Pruning for Graph-Based SLAM with Laser Range Finders.
In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), San Francisco, CA, USA, 2011.
[PDF] [BibTeX]

Henrik Kretzschmar, Cyrill Stachniss, Christian Plagemann, and Wolfram Burgard
Estimating Landmark Locations from Geo-Referenced Photographs.
In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nice, France, 2008.
[PDF] [BibTeX]

André Berton, Harald Hüning, and Henrik Kretzschmar
Domänenspezifische Sprachmodelle und Konfidenzmaße für die Domänendetektion und die Verringerung von Erkennungsfehlern.
In Tagungsband der 14. Konferenz Elektronische Sprachsignalverarbeitung (ESSV), Karlsruhe, Germany, 2003.

Henrik Kretzschmar, Markus Kuderer, and Wolfram Burgard
Predicting Human Navigation Behavior via Inverse Reinforcement Learning.
In The 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), Princeton, NJ, USA, 2013.
[BibTeX]

Henrik Kretzschmar, Markus Kuderer, and Wolfram Burgard
Learning Navigation Policies from Human Demonstrations.
In Proc. of the Workshop on Inverse Optimal Control and Robotic Learning from Demonstration at Robotics: Science and Systems (RSS), Berlin, Germany, 2013.
[BibTeX]

Henrik Kretzschmar, Markus Kuderer, and Wolfram Burgard
Inferring Navigation Policies for Mobile Robots from Demonstrations.
In Proc. of the Autonomous Learning Workshop at the IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, 2013.
[BibTeX]

Nichola Abdo, Henrik Kretzschmar, and Cyrill Stachniss
From Low-Level Trajectory Demonstrations to Symbolic Actions for Planning.
In Proc. of the Workshop on Combining Task and Motion Planning for Real-World Applications (TAMPRA) at the International Conference on Automated Planning and Scheduling (ICAPS), Atibaia, São Paulo, Brazil, 2012.
[PDF] [BibTeX]

Cyrill Stachniss and Henrik Kretzschmar
Pose Graph Compression for Laser-Based SLAM.
In Proc. of the International Symposium of Robotics Research (ISRR), Flagstaff, AZ, USA, 2011.
Invited presentation.
[PDF] [BibTeX]

Henrik Kretzschmar
Learning Probabilistic Models for Mobile Robot Navigation.
PhD Thesis, University of Freiburg, 2014.
[PDF] [BibTeX]

Henrik Kretzschmar
Lifelong Map Learning for Graph-based Simultaneous Localization and Mapping.
Diplomarbeit, University of Freiburg, 2009.

Henrik Kretzschmar
Estimating Landmark Locations from Geo-Referenced Photographs.
Studienarbeit, University of Freiburg, 2008.

Henrik Kretzschmar and Jiajun Zhu
Cyclist hand signal detection by an autonomous vehicle.
United States Patent, US 9,014,905 B1, April 21, 2015.

Google Inc., Mountain View, CA.