Nicolai Wojke

Universität Koblenz, University of Koblenz and Landau

Papers

Total Citations

117

H-Index

About

Nicolai Wojke is a leading researcher in autonomous robotics, with a primary focus on perception and navigation in unstructured outdoor environments. His work addresses the critical challenge of enabling robots to safely detect and track dynamic objects—such as vehicles and pedestrians—in complex, natural settings where traditional motion-based detection often fails due to low signal-to-noise ratios. Wojke’s major contributions include developing robust methods for moving vehicle detection and tracking, as demonstrated in his highly cited 2012 paper (49 citations), which supported a 14 km/h autonomous outdoor robot. He also advanced probabilistic terrain classification (41 citations) and introduced confidence-based pedestrian tracking using 3D laser distance measurements (27 citations), significantly improving safety for autonomous systems operating in unpredictable terrains. His research has been instrumental in bridging the gap between controlled environments and real-world, unstructured scenarios. With over 100 cumulative citations, Wojke’s work continues to influence the design of reliable perception systems for field robotics, making him a key figure in the development of autonomous vehicles capable of navigating beyond structured roads.