LIDAR and Monocular Camera Fusion: On-road Depth Completion for Autonomous Driving 論文筆記
這是一篇通過lidar和單目相機進行深度補全的。由於深度相機只能捕獲幾米範圍內的物體深度，因此深度相機很難感應到大規模的路況，距離、透明度、明亮的表面是RGBD相機的主要限制因素。 本文貢獻 1.使用早期融合技術和resnet-50作爲特徵編碼器。 2.A Residual Up-Projection block (RUB)修復空間分辨率。 3.上下文信息通過skip connections從編碼
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相關文章
- 1. Self-Supervised Sparse-to-Dense:Self-Supervised Depth Completion from LiDAR and Monocular Camera
- 2. 論文筆記_CV_AD_Visual Perception for Autonomous Driving
- 3. 【論文筆記】LiDAR and Camera Calibration using Motion Estimated by Sensor Fusion Odometry
- 4. 每天一篇論文 373/1000 PSEUDO-LIDAR++:ACCURATE DEPTH FOR 3D OBJECT DETECTION IN AUTONOMOUS DRIVING
- 5. Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving Yurong
- 6. 論文閱讀:High-Precision Depth Estimation Using Uncalibrated LiDAR and Stereo Fusion
- 7. 論文筆記：MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
- 8. 【論文閱讀】3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for
- 9. 論文閱讀CVPR2019——Stereo R-CNN based 3D Object Detection for Autonomous Driving
- 10. 點雲論文彙總