Jean‐Bernard Choquel
Université Lille Nord de France, Université du littoral côte d'opale
Papers
2
Total Citations
91
H-Index
2
About
Jean-Bernard Choquel is a researcher whose work lies at the intersection of information fusion, probabilistic modeling, and robotic perception. His primary contributions focus on developing innovative mathematical frameworks for handling angular data and multi-source information management—critical challenges in autonomous systems and sensor networks. Choquel’s most influential work, "A recursive fusion filter for angular data" (2009, 51 citations), addresses the unique difficulties of processing circular or directional measurements, which are common in robotics and perception tasks. By designing a recursive filter specifically for angular domains—rather than relying on traditional linear-domain statistics—he provided a practical, robust solution for multi-sensor, multi-temporal data fusion. His earlier paper, "A new probabilistic and entropy fusion approach for management of information sources" (2003, 40 citations), introduced a novel entropy-based method for combining information from diverse sources, enhancing decision-making under uncertainty. These contributions have been widely recognized, with his work cited in fields ranging from autonomous navigation to sensor fusion. Choquel’s research continues to influence engineers and scientists seeking reliable, domain-aware algorithms for real-world perception systems.
Research Focus
Key Achievements
Top Papers
- 1A recursive fusion filter for angular data51 citations · 2009
- 2