A Multiobjective Optimization Approach for COLREGs-compliant Path Planning of Autonomous Surface Vehicles Verified on Networked Bridge Simulators
- Submitting institution
-
Queen's University of Belfast
- Unit of assessment
- 12 - Engineering
- Output identifier
- 171256488
- Type
- D - Journal article
- DOI
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10.1109/TITS.2019.2902927
- Title of journal
- IEEE Transactions on Intelligent Transportation Systems
- Article number
- -
- First page
- 1167
- Volume
- 21
- Issue
- 3
- ISSN
- 1524-9050
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
8
- Research group(s)
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C - Electrical and Electronic
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is the output of industry-academia collaboration (Project MAXCMAS) involving the design of advanced decision-making, risk assessment and collision avoidance (CA) algorithms for autonomous ships (ASVs), compliant with maritime 'rules-of-the-road'. The paper is significant as it reports the world-first application of a commercially available bridge simulator integrated with advanced CA software. Experimental validation of the proposed algorithms was successfully conducted on the ARCIMS vessel supplied by Atlas Electronik. The work has led to a follow-on project as a significant workpackage as part of the £33M Artemis Technologies-led UKRI-funded SIPF project to develop autonomous CA capabilities for all-electric passenger ferries.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -