Alexander Schaefer
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Albert-Ludwigs-Universität Freiburg |
About me
- 07/2015 - now: Ph.D. student in the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard
- 02/2013 - 06/2015: Research Manager, Fraunhofer Institute for Factory Operation and Automation, Magdeburg, Germany
- 10/2006 - 11/2012: Dipl.-Ing. in Mechanical Engineering, Munich University of Technology (TUM), Germany
Research Interests
- Simultaneous localization and mapping for autonomous robots
- Trajectory planning for autonomous robots
Current Research Projects
- EU project Flourish featuring the Deepfield Robotics BoniRob
Journal and conference Papers
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Alexander Schaefer, Lukas Luft, Wolfram Burgard
DCT maps: Compact Differentiable Lidar Maps Based on the Cosine Transform
IEEE Robotics and Automation Letters (RA-L), Volume 3, Issue 2, April 2018
Presented at ICRA 2018 in Brisbane, Australia
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Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard
Detecting changes in the environment based on full posterior distributions over real-valued grid maps
IEEE Robotics and Automation Letters (RA-L), Volume 3, Issue 2, April 2018
Presented at ICRA 2018 in Brisbane, Australia
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Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard
Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors
Proc. of the IEEE Int. Conf. on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada, 2017
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Florian Kraemer, Alexander Schaefer, Andreas Eitel, Johan Vertens, Wolfram Burgard},
From Plants to Landmarks: Time-invariant Plant Localization that uses Deep Pose Regression in Agricultural Fields
Workshop on Agri-Food Robotics, IEEE Int. Conf. on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada, 2017
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Nived Chebrolu, Philipp Lottes, Alexander Schaefer, Wera Winterhalter, Wolfram Burgard, Cyrill Stachniss
Agricultural Robot Dataset for Plant Classification, Localization, and Mapping on Sugar Beet Fields
The Internatiounal Journal of Robotics Research (IJRR), 2017
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Alexander Schaefer, Lukas Luft, Wolfram Burgard
An Analytical Lidar Sensor Model Based on Ray Path Information
IEEE Robotics and Automation Letters (RA-L), Volume 2, Issue 3, July 2017
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Teaching
- 10/2015 - 04/2018: supervisor, lecture Robot Mapping
- 10/2007 - 04/2011: lecturer and supervisor, lecture Object-Oriented Software Engineering, Munich University of Technology