Martin Friedl

Papers

Total Citations

H-Index

About

Martin Friedl’s research centers on advancing autonomous vehicle motion planning, with a particular focus on grid-based environment representations. His most cited work, "Efficient Evaluation of Collisions and Costs on Grid Maps for Autonomous Vehicle Motion Planning" (2014, 29 citations), tackles the critical computational bottleneck of collision checking in path planning. Friedl demonstrated how to dramatically accelerate this process, making real-time autonomous navigation more feasible. He further expanded the field with his 2013 paper on "Path planning on grid maps with unknown goal poses" (16 citations), addressing a fundamental challenge in sensor-based autonomous driving where the exact destination isn't predetermined. This work is especially relevant for robots navigating unknown environments without prior maps. Friedl’s contributions are notable for bridging theoretical path planning algorithms with practical, real-world constraints faced by autonomous vehicles. His research on efficient collision evaluation has become a foundational reference for subsequent work in grid-based planning, while his exploration of unknown goal poses opened new directions for adaptive navigation systems. With a combined 45+ citations on these two key papers, Friedl’s work continues to influence both academic research and practical implementations in autonomous driving and mobile robotics.