A Multiobjective Optimization Approach for COLREGs-Compliant Path Planning of Autonomous Surface Vehicles Verified on Networked Bridge Simulators
- Submitting institution
-
The University of Essex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1383
- Type
- D - Journal article
- DOI
-
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)
-
D - Robotics and Embedded Systems (RES)
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Shipping is a very significant industry with a major recruitment problem. Significantly this paper, published in IEEE-TITS, the leading intelligent transport journal develops an autonomous navigation system for unmanned ships. Robustly verified through industrial high-fidelity simulators and tested using real Rolls-Royce (industrial partner) ships for 2-weeks sea-trials in the UK, the work enables unmanned ships to run safely and manoeuvre in compliance with maritime traffic rules. The successful sea trials were reported in both UK and global mass media e.g.https://www.rolls-royce.com/media/press-releases/2018/21-03-2018-maxcmas-success-suggests-colregs-remain-relevant-for-autonomous-ships.aspx, and World Maritime News (https://worldmaritimenews.com/archives/tag/maxcmas/). Publication helped to attract further consultancy for the author.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -