RGB-guided sparse depth completion for non-repetitive scanning LiDAR in crowd dynamics analysis

Accurate depth perception is essential for understanding crowd dynamics in evacuation and disaster-response scenarios. However, non-repetitive scanning LiDAR, despite its affordability and wide field of view, produces extremely sparse and irregular depth measurements that are difficult to interpret...

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Auteurs principaux:	Zixuan Zhang, Nobutaka Tsujiuchi, Akihito Ito, Hirosuke Horii
Format:	Artigo
Langue:	Inglês
Publié:	Elsevier 2026-03-01
Collection:	Transportation Research Interdisciplinary Perspectives
Sujets:	Disaster response Non-repetitive scanning 3D LiDAR Depth map completion RGB-guided bilateral filtering
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S2590198226000448
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