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Path planning and collision avoidance for autonomous surface vehicles I: a review

Journal

JOURNAL OF MARINE SCIENCE AND TECHNOLOGY
Volume 26, Issue 4, Pages 1292-1306

Publisher

SPRINGER JAPAN KK
DOI: 10.1007/s00773-020-00787-6

Keywords

Autonomous surface vehicle (ASV); Artificial intelligence; Path planning; Collision avoidance; Safety

Funding

  1. European Research Consortium for Informatics and Mathematics [2017-18]
  2. Senter for Autonome Marine Operasjoner og Systemer [223254]

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This paper reviews the guidance and path planning algorithms of autonomous surface vehicles, highlighting the need for new regulations in the field. The analysis of terminology used in the literature aims to clarify ambiguities in commonly used terms related to path planning.
Autonomous surface vehicles are gaining increasing attention worldwide due to the potential benefits of improving safety and efficiency. This has raised the interest in developing methods for path planning that can reduce the risk of collisions, groundings, and stranding accidents at sea, as well as costs and time expenditure. In this paper, we review guidance, and more specifically, path planning algorithms of autonomous surface vehicles and their classification. In particular, we highlight vessel autonomy, regulatory framework, guidance, navigation and control components, advances in the industry, and previous reviews in the field. In addition, we analyse the terminology used in the literature and attempt to clarify ambiguities in commonly used terms related to path planning. Finally, we summarise and discuss our findings and highlight the potential need for new regulations for autonomous surface vehicles.

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