Depth fusion by deep learning II

Depth fusion of camera and lidar by deep learning II

•Propagating Confidences through CNNs for Sparse Data Regression

•Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation

•High-precision Depth Estimation with the 3D LiDAR and Stereo Fusion

•Learn Morph. Operators for Depth Completion

•DeepLiDAR: Deep Surface Normal Guided Depth Prediction from LiDAR and Color Image

•Dense Depth Posterior (DDP) from Single Image and Sparse Range

•DFuseNet: Fusion of RGB and Sparse Depth for Image Guided Dense Depth Completion

•3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization Sparse and noisy LiDAR completion with RGB guidance and uncertainty