Bruno Vallet
Papers
3
Total Citations
32
H-Index
3
About
Bruno Vallet is a leading researcher at the intersection of photogrammetry, robotics, and urban 3D modeling. His work focuses on creating intelligent, large-scale 3D representations of cities to enable autonomous navigation and advanced environmental perception. Vallet’s major contributions include developing a fully automatic framework for reconstructing high-quality, textured 3D city models from mobile mapping images and LiDAR scans, a critical step for realistic urban simulation and autonomous driving. He also pioneered methods for generating integrated 3D city models with visual landmarks, designing drivable trajectories for robots in dense urban areas while accounting for permanent and dynamic obstacles. In the domain of safety, Vallet has advanced moving object detection from LiDAR point clouds, comparing occupancy modeling techniques to improve collision avoidance and static background extraction. His most cited works, including the 2013 paper on urban navigation (14 citations) and the 2018 large-scale mesh reconstruction study (12 citations), demonstrate sustained impact in both geomatics and robotics communities. Vallet’s research is essential for students and engineers building the next generation of autonomous systems and smart city technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3