Denis Dillenberger

University of Koblenz and Landau, Federal Office of Bundeswehr Equipment, Information Technology and In-Service Support

Papers

Total Citations

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About

Denis Dillenberger is a robotics researcher whose work focuses on autonomous navigation and perception in unstructured, real-world environments. His primary research areas include 3D laser-based terrain analysis, drivability assessment, and mixed 2D/3D perception systems for mobile robots. Dillenberger’s most influential contribution, the 2009 paper “Terrain drivability analysis in 3D laser range data for autonomous robot navigation in unstructured environments” (39 citations), introduced a novel method for extracting actionable terrain information from dense 3D point clouds, enabling robots to navigate challenging outdoor terrain in real time by focusing on drivability rather than full geometric reconstruction. He also contributed to the evolution of disaster robotics through his work on the RoboCup Rescue Robot League, co-authoring a 2016 paper (8 citations) that proposed a new rule set to better reflect real-world challenges observed in events like the DARPA Robotics Challenge. Additionally, his 2011 work on mixed 2D/3D perception (4 citations) advanced sensor fusion techniques for autonomous systems operating in unstructured environments. Dillenberger’s research bridges the gap between raw sensor data and practical, real-time decision-making for field robotics.