Rapidly-Exploring Adaptive Sampling Tree*: A Sample-Based Path-Planning Algorithm for Unmanned Marine Vehicles Information Gathering in Variable Ocean Environments

This research presents a novel sample-based path planning algorithm for adaptive sampling. The goal is to find a near-optimal path for unmanned marine vehicles (UMVs) that maximizes information gathering over a scientific interest area, while satisfying constraints on collision avoidance and pre-spe...

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Detalles Bibliográficos
Autores principales: Xiong, Chengke, Zhou, Hexiong, Lu, Di, Zeng, Zheng, Lian, Lian, Yu, Caoyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249061/
https://www.ncbi.nlm.nih.gov/pubmed/32365553
http://dx.doi.org/10.3390/s20092515

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249061/
https://www.ncbi.nlm.nih.gov/pubmed/32365553
http://dx.doi.org/10.3390/s20092515

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