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A Comparative Study of Rapidly-exploring Random Tree Algorithms Applied to Ship Trajectory Planning and Behavior Generation

Published Online: 2025-01-11

Authors

Tengesdal, Trym https://orcid.org/0000-0001-8182-3292
Pedersen, Tom Arne

Johansen, Tor Arne
Funding

Funding for this research was provided by:

SFI Autoship (309230)

Kongsberg Maritime (University Technology Center on Ship Performance and Cyber Physical Systems)
License Information

Text and Data Mining valid from 2025-01-11

Version of Record valid from 2025-01-11
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Article History

Received: 22 April 2024

Accepted: 30 December 2024

First Online: 11 January 2025

Declarations

:

: The authors have no relevant financial or non-financial interests to disclose.

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