Benjamin Suger
Albert-Ludwigs-Universität Freiburg |
About me
- 10/2003 - 01/2011: Diploma in Mathematics, University of Freiburg
- 06/2011 - 03/2017: PhD student at the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard
Research Interests
- Traversability Analysis
- 3D modeling
- Graph-SLAM
Current Research Projects
Publications
Journal Publications
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Tayyab Naseer, Benjamin Suger, Michael Ruhnke, Wolfram Burgard
Vision-based Markov Localization for Long-term Autonomy
Robotics and Autonomous Systems (RAS), 2017
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Benjamin Suger, Wolfram Burgard
Global Outer-Urban Navigation with OpenStreetMap
To appear in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Singapore, Singapore, 2017
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Benjamin Suger, Bastian Steder, Wolfram Burgard
Terrain-Adaptive Obstacle Detection
Proceedings of the International Conference on Intelligent Robots and Systems (IROS), Daejeon, Korea, 2016
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Jörg Röwekämper, Benjamin Suger, Wolfram Burgard, Gian D. Tipaldi
Accurate Localization with Respect to Moving Objects via Multiple-Body Registration
Proceedings of the International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015
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Tayyab Naseer, Benjamin Suger, Michael Ruhnke, Wolfram Burgard
Vision-Based Markov Localization Across Large Perceptual Changes
Proceedings of the IEEE European Conference on Mobile Robotics (ECMR) , Lincoln, UK, 2015
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Benjamin Suger, Bastian Steder, Wolfram Burgard
Traversability Analysis for Mobile Robots in Outdoor Environments: A Semi-Supervised Learning Approach Based on 3D-Lidar Data
In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, USA, 2015
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Benjamin Suger, Gian D. Tipaldi, Luciano Spinello, Wolfram Burgard
An Approach to Solving Large-Scale SLAM Problems with a Small Memory Footprint
In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, 2014
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Best Conference Paper Award Finalist
Journal Papers
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Karin Halupczok, Benjamin Suger
Partial sums of the Möbius function in arithmetic progressions assuming GRH
Funct. Approx. Comment. Math. Volume 48, Number 1 (2013), pp. 61-90
Teaching
- TA, Introduction to Mobile Robotics, University of Freiburg, SS2012