Self-Supervised Depth Correction of Lidar Measurements from Map Consistency Loss

Ruslan Agishev, Tomáš Pětříček, Karel Zimmermann

Depth perception is considered an invaluable source of information in the context of 3D mapping and various robotics applications. However, point cloud maps acquired using consumer…