Papers
2
Total Citations
22
H-Index
2
About
B. Pannetier is a leading researcher in autonomous systems and environment perception, with a primary focus on advancing safety-critical navigation for mobile robotics and intelligent vehicles. Their key research areas include grid-based occupancy mapping, sensor fusion, and uncertainty modeling using belief functions. Pannetier’s major contributions lie in developing robust methods for estimating grid occupancy—a foundational representation of the perceived world that enables obstacle avoidance and autonomous navigation. Notably, their 2015 paper on “Grid occupancy estimation for environment perception based on belief functions and PCR6” (13 citations) introduced an improved approach that leverages Dempster’s rule of combination and the PCR6 rule to enhance the accuracy and reliability of occupancy estimates under uncertainty. This work, alongside their related study on “Environment Perception Using Grid Occupancy Estimation With Belief Functions” (9 citations), has been instrumental in shaping next-generation terrestrial vehicle safety systems and autonomous navigation platforms. Pannetier’s research directly addresses the challenge of making autonomous systems safer and more dependable, earning recognition for its practical impact on real-world robotics and automotive applications. Their work continues to influence researchers and engineers developing advanced perception systems for dynamic environments.
Research Focus
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Top Papers
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