Practical work using the Turtebot3 robot. The students use Python and ROS to access and process the sensors. The sensors studied are: Infrared distance sensor, accelerometer, gyrometer, wheel encoder, LiDAR and camera.
Tutorial on GNSS sensors.
Course: Introduction to LiDAR sensors. Ground plane detection (RANSAC, PCA) and Clustering.
Tutorial on the LiDAR sensors.
Project: Autonomous vehicle teleoperation. Autonomous driving until an obstacle is detected at which point a remote operator has to adjust the vehicle trajectory.
Master of Science Students Supervision
Vehicle Localization Using 3D LiDARs and Vector Maps
Defended September 2019
Supervisors: Anthony Welte and Philippe Bonnifait