Multi-Sensor Vehicle Trajectories Dataset for Localization and Perception

This dataset contains complete recordings of trajectories performed by an experimental vehicle equipped with a wide range of perception and positioning sensors. The data is intended for research and development in the fields of localization, mapping, sensor fusion, robotic perception, and autonomous navigation, with 7 different trajectories. This acquisition was carried out as part of the ANR LOCSP project using the vehicle demonstrator tools from the PRETIL platform of the CRIStAL laboratory. This dataset contains the following sensor data types : - GNSS positions from multiple receivers - 3D point clouds from LIDAR systems - IMU (Inertial Measurement Unit) data from onboard sensors - CAN bus data recording the internal vehicle state (speed, steering, etc.)