Fusionof Camera and LiDAR for Autonomous Vehicles II (via Deep Learning)
•MLOD: A multi-view 3D object detection based on robust feature fusion method
•Multi-Sensor 3D Object Box Refinement for Autonomous Driving
•Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
•Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation
•Class-specific Anchoring Proposal for 3D Object Recognition in LIDAR and RGB Images
•MVX-Net: Multimodal VoxelNet for 3D Object Detection
•Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation
•3D Object Detection Using Scale Invariant and Feature Reweighting Networks
•Appendix: Depth fusion from Camera and LiDAR Data
•3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization
•Sparse and noisy LiDAR completion with RGB guidance and uncertainty