Collaborative Obstacle Detection for Dual USVs Using MGNN-DANet with Movable Virtual Nodes and Double Attention

To reduce missed detections in LiDAR-based obstacle detection, this paper proposes a dual unmanned surface vessels (USVs) obstacle detection method using the MGNN-DANet template matching framework. Firstly, point cloud templates for each USV are created, and a clustering algorithm extracts suspected...

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Detalhes bibliográficos

Principais autores:	Zehao He, Ligang Li, Hongbin Xu, Lv Zong, Yongshou Dai
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-08-01
coleção:	Drones
Assuntos:	dual unmanned surface vessels obstacle detection double attention movable virtual nodes
Acesso em linha:	https://www.mdpi.com/2504-446X/8/9/418
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