Simulation Environment for the Evaluation of LiDAR Odometry Algorithms

This study focused on enhancing odometry estimation for self-driving cars using LiDAR-based sensor technology. The project involves integrating LiDAR sensors into the car’s sensor suite, which generates detailed 3D point clouds of the environment. This integration can be useful when gaps-based odometry estimation is not accurate enough. These point clouds are then used to accurately estimate the vehicle’s movement and position using learning-based and model-based odometry estimation methods.