Cooperative path planning of multiple autonomous underwater vehicles operating in dynamic ocean environment
- Submitting institution
-
University of Plymouth
- Unit of assessment
- 12 - Engineering
- Output identifier
- 2056
- Type
- D - Journal article
- DOI
-
10.1016/j.isatra.2019.04.012
- Title of journal
- ISA Transactions
- Article number
- -
- First page
- 174
- Volume
- 94
- Issue
- -
- ISSN
- 0019-0578
- Open access status
- Compliant
- Month of publication
- -
- 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
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a novel two-stage optimal cooperative path planning for multiple autonomous underwater vehicles (AUVs). The off-line planner solves the collisions with static obstacles and other AUVs, and the on-line planner avoids the risk of collision with moving obstacles. According to Keji et al. (DOI:10.1016/j.isatra.2020.07.009), the proposed approach is valuable not only in the marine environment but also on roads to cope with highly automated driving in highway environments with multiple lanes and surrounding vehicles, where integrated longitudinal and lateral control for intelligent vehicles are required simultaneously for fast reaction and to avoid the collisions successfully and efficiently.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
