Application of Improved Particle Swarm Optimization for Navigation of Unmanned Surface Vehicles

Multi-sensor fusion for unmanned surface vehicles (USVs) is an important issue for autonomous navigation of USVs. In this paper, an improved particle swarm optimization (PSO) is proposed for real-time autonomous navigation of a USV in real maritime environment. To overcome the conventional PSO’s inh...

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Detalles Bibliográficos
Autores principales: Xin, Junfeng, Li, Shixin, Sheng, Jinlu, Zhang, Yongbo, Cui, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679337/
https://www.ncbi.nlm.nih.gov/pubmed/31337015
http://dx.doi.org/10.3390/s19143096

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679337/
https://www.ncbi.nlm.nih.gov/pubmed/31337015
http://dx.doi.org/10.3390/s19143096

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