Path planning and collision avoidance for autonomous surface vehicles II: a comparative study of algorithms

Artificial intelligence is an enabling technology for autonomous surface vehicles, with methods such as evolutionary algorithms, artificial potential fields, fast marching methods, and many others becoming increasingly popular for solving problems such as path planning and collision avoidance. Howev...

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Veröffentlicht in:	Journal of marine science and technology 2021-12, Vol.26 (4), p.1307-1323
Hauptverfasser:	Vagale, Anete, Bye, Robin T., Oucheikh, Rachid, Osen, Ottar L., Fossen, Thor I.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Automotive Engineering Autonomous surface vehicles Avoidance behaviour Collision avoidance Collisions Comparative analysis Comparative studies Engineering Engineering Design Engineering Fluid Dynamics Evolutionary algorithms Mechanical Engineering Methods Objective function Offshore Engineering Path planning Performance evaluation Potential fields Review Article Safety Surface vehicles Technology: 500 Teknologi: 500 VDP Vehicles
Online-Zugang:	Volltext
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