Papers
14
Total Citations
259
H-Index
9
About
Arnaud de La Fortelle is a researcher whose work spans autonomous vehicles, mobile robotics, and multi-robot coordination, with particular emphasis on intelligent transportation systems and visual localization. He has made significant contributions to the field of cooperative intersection management, developing mathematical frameworks for coordinating multiple robots and autonomous vehicles along shared pathways. His priority-based coordination approaches, which address kinodynamic constraints and deadlock-free motion planning, have collectively drawn nearly 120 citations, establishing him as a notable voice in multi-agent motion planning. More recently, de La Fortelle has advanced the state of visual relocalization for autonomous systems, contributing CoordiNet—an uncertainty-aware pose regression network for robust camera localization—and LENS, which leverages Neural Radiance Fields to synthesize training data and improve relocalization accuracy. His earlier work explored evolutionary optimization for real-time obstacle avoidance and geometric vision models for urban robot navigation, demonstrating a career-long commitment to bridging perception and planning in real-world robotic systems. From humanoid robot navigation to large-scale autonomous vehicle deployment, de La Fortelle's research offers both theoretical rigor and practical relevance, making his publications valuable reading for students and researchers working at the intersection of robotics, computer vision, and intelligent transportation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optimal cooperative motion planning for vehicles at intersections36 citations · 2013
- 3
- 4Priority-based intersection management with kinodynamic constraints30 citations · 2014
- 5Time-optimal coordination of mobile robots along specified paths30 citations · 2016
- 6Priority-based coordination of robots26 citations · 2013
- 7LENS: Localization enhanced by NeRF synthesis17 citations · 2021
- 8Humanoid robot navigation: From a visual SLAM to a visual compass14 citations · 2013
- 9
- 10Geometrical model to drive vision systems with error propagation7 citations · 2005