Confidence-Guided LiDAR Depth Completion for Robust 3D Object Detection

LiDAR depth completion aims to reconstruct dense depth images from sparse LiDAR scans. While prior methods claim to improve 3D scene understanding, their dense depth maps often introduce erroneous points around object boundaries when directly back-projected into 3D space, which degrades downstream r...

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書目詳細資料

Principais autores:	Sangwon Hwang, Kyungjae Lee
格式:	Artigo
語言:	Inglês
出版:	IEEE 2025-01-01
叢編:	IEEE Access
主題:	LiDAR depth completion pseudo-LiDAR point cloud confidence map 3D object detection deep neural network
在線閱讀:	https://ieeexplore.ieee.org/document/11159202/
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