Papers

16

Total Citations

759

H-Index

10

About

Felix von Hundelshausen is a leading researcher in autonomous mobile robotics, with a primary focus on real-time perception and navigation for ground vehicles. His most influential contribution is a fast segmentation method for large-scale 3D point clouds, detailed in his highly cited 2010 paper (435 citations), which enables high-speed autonomous driving by allowing robots to process LIDAR data in real time. He is also renowned for his "Driving with Tentacles" approach (134 citations), an integral structure for sensing and motion that was successfully deployed without GPS at the 2007 DARPA Urban Challenge and C-Elrob 2007. Beyond ground vehicles, von Hundelshausen has advanced humanoid robotics, developing reactive navigation for unknown environments using only onboard cameras, and has explored topological localization through LIDAR crossroad detection for GPS-denied areas. His work on learning object definitions by observing human activities and omnidirectional vision systems further demonstrates his breadth. With over 700 total citations, his research has been pivotal in enabling autonomous systems to operate robustly in unstructured, real-world environments.

Research Focus

Key Achievements

10
H-Index
16
Papers
759
Total Citations
47
Avg Citations/Paper
🏆 Most Cited Paper
Fast segmentation of 3D point clouds for ground vehicles
435 citations · 2010
📈 Most Prolific Year: 2011 (3 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Universität der Bundeswehr München, Carnegie Mellon University, Freie Universität Berlin

Top Papers

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    15 citations · 2006
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Key Collaborators

Contact & Links

Available for collaboration
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