Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion
Sihaeng Lee,Eojindl Yi,Janghyeon Lee,Junmo Kim,Sihaeng Lee,Eojindl Yi,Janghyeon Lee,Junmo Kim
The depth completion task aims to predict a dense depth map from a sparse LiDAR point cloud and an RGB image. This task is critical because an accurate depth map can be used as prior information to solve many computer vision tasks, such as downstream tasks in autonomous vehicles and robot vision. Previous deep learning methods which focus on the local affinity have achieved impressive results. How...
