Adaptive Velocity Obstacle Avoidance for Multi-Vessel Encounters

Karim Ahmadi Dastgerdi, Bhawana Singh, Wasif Naeem, Nikolaos Athanasopoulos

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

Abstract

Numerous methodologies based on velocity obstacles have been developed for marine collision avoidance over the past decade. They are typically limited to one or two ship encounters, sequential ship encounters and/or lack safety guarantees in scenarios involving multiple obstacles. This paper proposes an adaptive collision avoidance strategy based on the velocity obstacle method to safely avoid multiple dynamic obstacles (one, two or more) simultaneously while navigating towards the waypoint in partial compliance with the Convention on International Regulations (COLREGs) rules. Our avoidance strategy is based on the construction of the adaptive velocity cone according to the motion of the dynamic obstacles that ensures safety with the obstacles at all times. We implement the proposed avoidance strategy on a set of standardised scenarios, namely, Imazu problems for multi-vessel encounter situations. We compare our proposed strategy with the standard velocity obstacle method for multiple dynamic obstacles and found that our approach is better than standard in terms of minimum safety distance between the ship and the obstacles.

Original languageEnglish
Title of host publication2024 UKACC 14th International Conference on Control, CONTROL 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages90-95
Number of pages6
ISBN (Electronic)9798350374261
DOIs
Publication statusPublished - 10 Apr 2024
Event14th UKACC International Conference on Control, CONTROL 2024 - Winchester, United Kingdom
Duration: 10 Apr 202412 Apr 2024

Publication series

Name2024 UKACC 14th International Conference on Control, CONTROL 2024
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)2831-5219
ISSN (Electronic)2766-6522

Conference

Conference14th UKACC International Conference on Control, CONTROL 2024
Country/TerritoryUnited Kingdom
CityWinchester
Period10/04/2412/04/24

Bibliographical note

Publisher Copyright: © 2024 IEEE.

Fingerprint

Dive into the research topics of 'Adaptive Velocity Obstacle Avoidance for Multi-Vessel Encounters'. Together they form a unique fingerprint.

Cite this