Lidar Odometry

Lidar odometry (LO) focuses on estimating the movement of a robot or vehicle using data from lidar sensors, aiming for accurate and real-time pose estimation. Current research emphasizes improving robustness and efficiency, exploring techniques like continuous-time models, neural network-enhanced geometric feature matching (e.g., using PointPWC and GICP), and distributed collaborative approaches for multi-robot systems. These advancements are crucial for applications such as autonomous driving and robotics, enabling reliable navigation and mapping in diverse and challenging environments.