Lars Kuhnert
Papers
6
Total Citations
51
H-Index
4
About
Lars Kuhnert is a robotics researcher whose work focuses on enabling autonomous outdoor robots to perceive, navigate, and cooperate in complex, unstructured environments. His key contributions span vegetation detection, real-time camera exposure control, and high-precision localisation for unmanned ground vehicles. His most cited paper, "Spreading algorithm for efficient vegetation detection in cluttered outdoor environments" (26 citations), presents a novel approach to distinguishing vegetation from other obstacles—a critical capability for off-road navigation. Kuhnert also developed a luminance histogram-based auto exposure control algorithm for onboard cameras, enabling rapid, precise light adjustment in high-resolution imagery. His work on absolute high-precision localisation using real-time aerial video and geo-referenced orthophoto registration (4 citations) demonstrates a multi-sensor fusion approach for robust positioning. Additionally, he contributed to real-time 3D outdoor scene reconstruction and the development of a high-speed 3D laser measurement system for outdoor robotics. Kuhnert’s research on cooperation in heterogeneous robot groups (2 citations) explores the architectures and communication structures needed for teams of autonomous robots to collaborate effectively, reflecting a broader vision of scalable, multi-robot systems operating in the wild.
Research Focus
Key Achievements
Top Papers
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- 6Cooperation in heterogeneous groups of autonomous robots2 citations · 2012