RI-DVP: A Physics–Geometry Dual-Driven Framework for Static Map Construction in Sparse LiDAR Scenarios

High-fidelity static map construction is essential for reliable autonomous navigation, yet dynamic environments introduce severe artifacts caused by moving objects (also referred to as dynamic artifacts) in accumulated maps. While geometry-based methods perform well on dense point clouds, their perf...

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Autors principals:	Xiaokai Li, Li Wang, Haolong Luo, Guangyun Li
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-03-01
Col·lecció:	Remote Sensing
Matèries:	static map construction dynamic object removal LiDAR intensity radiometric calibration sparse LiDAR SLAM
Accés en línia:	https://www.mdpi.com/2072-4292/18/5/821
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