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Multi-View 3D Object Detection Network for Autonomous Driving
時間 2021-01-02
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Multi-View 3D Object Detection Network for Autonomous Driving 這篇論文主要針對自主駕駛場景中的高精度三維目標檢測。文章提出了多視圖三維網絡(mv3d),一個以激光點雲與RGB圖像作爲輸入去預測定向的三維bounding box的融合框架。論文編碼稀疏的三維點雲數據用緊湊的多視圖表示。網絡是由兩個子網絡組成:一個是三維目標區域推薦網絡,
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相關文章
1.
Pillar-based Object Detection for Autonomous Driving
2.
Stereo R-CNN based 3D Object Detection for Autonomous Driving
3.
[論文解讀]Multi-View 3D Object Detection Network for Autonomous Driving
4.
MV3D:Multi-View 3D Object Detection Network for Autonomous Driving(翻譯)
5.
解讀ECCV2020:Pillar-based Object Detection for Autonomous Driving
6.
【3D目標檢測】Multi-View 3D Object Detection Network for Autonomous Driving論文綜述(2016)
7.
論文閱讀CVPR2019——Stereo R-CNN based 3D Object Detection for Autonomous Driving
8.
MODNet-Motion and Appearance based Moving Object Detection Network for Autonomous Driving
9.
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving Yurong
10.
【3D 目標檢測】2019 CVPR Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles
>>更多相關文章<<