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【論文閱讀】3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for
時間 2020-05-14
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論文閱讀
3d
cvf
generating
joint
camera
lidar
features
using
cross
view
spatial
feature
fusion
简体版
原文
原文鏈接
一個多模態 (Camera + Lidar) 3D 目標檢測 SOTA 方法!論文連接:https://arxiv.org/abs/2004.12636網絡 摘要 本文提出了一種融合攝像機和激光雷達傳感器進行三維目標檢測的深層結構。因爲攝像機和激光雷達的傳感器信號具備不一樣的特性和分佈,融合這兩種模式有望提升三維目標檢測的精度和魯棒性。相機和激光雷達融合帶來的一個挑戰是,從每種成像方式得到的空間特
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相關文章
1.
【論文閱讀】3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for
2.
論文閱讀:High-Precision Depth Estimation Using Uncalibrated LiDAR and Stereo Fusion
3.
1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記
4.
【論文筆記】LiDAR and Camera Calibration using Motion Estimated by Sensor Fusion Odometry
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A Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3-D Reconstructions
7.
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8.
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