Escape Path Planning for Unmanned Surface Vehicle Based on Blind Navigation Rapidly Exploring Random Tree* Fusion Algorithm

To address the design and application requirements for USVs (Unmanned Surface Vehicles) to autonomously escape from constrained environments using a minimal number of sensors, we propose a path planning algorithm based on the RRT* (Rapidly Exploring Random Tree*) method, referred to as BN-RRT* (Blin...

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Autors principals:	Bo Zhang, Shanlong Lu, Qing Li, Peng Du, Kaixin Hu
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-11-01
Col·lecció:	Sensors
Matèries:	Blind Navigation Rapidly Exploring Random Tree* (BN-RRT*) Rapidly Exploring Random Trees (RRT*) Artificial Potential Field (APF) escape strategy path planning
Accés en línia:	https://www.mdpi.com/1424-8220/24/23/7596
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