A Review of Path Planning Algorithms in Maritime Autonomous Surface Ships: Navigation Safety Perspective

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Date

2022

Authors

Ozturk, Ulku
Akdag, Melih
Ayabakan, Tarik

Journal Title

Journal ISSN

Volume Title

Publisher

Pergamon-Elsevier Science Ltd

Open Access Color

Green Open Access

No

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No
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Top 1%
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Top 1%

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Abstract

Unmanned maritime systems are evolving in a rapidly changing environment. Although the regulation and international law processes are still in progress, there are numerous research attempts regarding autonomous maritime vehicle path planning particularly. In contrast to ground and air autonomous path planning, ship path planning has numerous pitfalls such as safety, complexity and environmental dynamics that hinder the emergence of reliable autonomous systems. This review explores the path planning algorithms of autonomous maritime vehicles and their collision regulation relevance in order to reveal how the research community handles this issue. Our relevant findings point out that there are still many traffic rules to be dealt by path planning algorithms. Algorithms that can be calibrated in terms of safe distance, safe speed and etc. may be deemed more compliant after regulation amendments.

Description

Keywords

Obstacle Avoidance Algorithm, Collision Risk-Assessment, Mobile Robot, Colregs, Vehicles, System, Optimization, Strategy, Obstacle Avoidance Algorithm, Collision Risk-Assessment, Mobile Robot, Colregs, Vehicles, Literature review, System, Autonomous surface vehicle, Optimization, Motion planning, Strategy, Navigation safety

Fields of Science

0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

Q1

Scopus Q

Q1
OpenCitations Logo
OpenCitations Citation Count
134

Source

Ocean Engineering

Volume

251

Issue

Start Page

111010

End Page

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Citations

CrossRef : 138

Scopus : 166

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Mendeley Readers : 108

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