Daniel Wilbers

University of Bonn, Volkswagen Group (Germany), Technische Universität Darmstadt

Papers

Total Citations

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About

Daniel Wilbers is a leading researcher in the field of automated driving and mobile robotics, with a primary focus on localization and state estimation. His major contributions center on developing robust, real-time localization systems for autonomous vehicles operating in complex urban environments. Wilbers pioneered the use of sliding window factor graphs for vehicle localization on third-party maps, a method that optimizes over recent landmark and odometry measurements to achieve high accuracy and reliability. His work critically compares state estimation techniques, including particle filters and graph-based optimization, providing essential guidance for practitioners in the field. With his most cited paper, "Localization with Sliding Window Factor Graphs on Third-Party Maps for Automated Driving," accumulating 54 citations, Wilbers has established a strong impact on both academic research and practical deployment of autonomous driving systems. Additionally, his exploration of context-driven movement primitive adaptation demonstrates a broader interest in enabling robots to generalize skills to varying environments, further showcasing his versatility and depth in advancing autonomous systems.