Christophe Viel

Centre National de la Recherche Scientifique

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Total Citations

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About

Christophe Viel is a researcher specializing in autonomous navigation, underwater robotics, and bio-inspired vision systems. His work focuses on developing robust localization and control methods for unmanned vehicles, particularly in challenging environments where traditional sensors like GPS are unavailable. Viel’s major contributions include a novel approach to remotely operated vehicle (ROV) localization using umbilical angle measurements, achieving 8 citations, and a fast normalized cross-correlation technique for optic-flow-based obstacle detection in helicopters, also cited 8 times. He has further advanced real-time braking control for underwater vehicles by leveraging optic flow divergence, a method inspired by insect vision, with recent work in 2024. His research bridges theoretical computer vision and practical robotics, offering low-cost, computationally efficient solutions for collision avoidance and navigation. Notable achievements include the application of these techniques to both aerial and underwater domains, demonstrating cross-platform versatility. With a growing citation record, Viel’s work is gaining recognition for its potential to enhance autonomous vehicle safety and reliability in GPS-denied settings, making him a rising figure in the field of bio-inspired robotics and sensor fusion.