Papers
2
Total Citations
38
H-Index
2
About
David Roussel is a leading researcher in the fields of cooperative robotics, real-time localization, and event-based vision. His most impactful work includes the development of WeCo-SLAM, a wearable cooperative SLAM system designed for real-time indoor localization under challenging conditions where GPS signals are unreliable or unavailable. This system, which has garnered 35 citations, addresses critical challenges in autonomous navigation and multi-robot mapping by enabling globally consistent tracking during indoor/outdoor transitions. Roussel has also made notable contributions to the study of event-based cameras, or Dynamic Vision Sensors (DVS), which offer significant advantages over conventional cameras in robotics applications. His work on a dataset for event-based optical flow evaluation, though newer, lays essential groundwork for advancing perception in high-speed and low-light environments. By bridging the gap between cooperative localization and novel sensing modalities, Roussel’s research is helping to push the boundaries of robust, real-time robotic perception.
Research Focus
Key Achievements
Top Papers
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