Bastien Jacquet
Papers
1
Total Citations
253
H-Index
1
About
Bastien Jacquet is a leading researcher in robotics and autonomous systems, with a primary focus on LiDAR-based localization, mapping, and odometry. His most significant contribution is the development of CT-ICP (Continuous-Time Iterative Closest Point), a real-time elastic LiDAR odometry method that achieves high-precision mapping and loop closure for multi-beam LiDAR sensors. This work, published in 2022 and already garnering over 250 citations, addresses a critical challenge in autonomous navigation: building accurate environmental maps in real time. CT-ICP’s innovation lies in its continuous-time formulation, which allows for robust motion estimation even in dynamic or complex environments. Jacquet’s research has direct applications in autonomous driving and robotics, where precise localization is essential for perception and safe operation. His work is widely recognized for bridging the gap between theoretical rigor and practical deployment, making him a key figure in advancing LiDAR-only odometry systems.
Research Focus
Key Achievements
Top Papers
- 1CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure253 citations · 2022