A constrained A* approach towards optimal path planning for an unmanned surface vehicle in a maritime environment containing dynamic obstacles and ocean currents
- Submitting institution
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University of Plymouth
- Unit of assessment
- 12 - Engineering
- Output identifier
- 103
- Type
- D - Journal article
- DOI
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10.1016/j.oceaneng.2018.09.016
- Title of journal
- Ocean Engineering
- Article number
- -
- First page
- 187
- Volume
- 169
- Issue
- -
- ISSN
- 0029-8018
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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-
- 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
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4
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In navigation, efficient path planning is a critical issue. The significance of this paper is that it proposes a computationally efficient algorithm to determine a trajectory in a complex operating environment with dynamic obstacles and spatially variable ocean currents. The algorithm can be exploited by the maritime industrial sector who work with optimal path planners to abide by the guidelines of the International Maritime Organization. Shaocheng Luo (Email: luo191@purdue.edu) from Purdue Smart Lab commented: "The approach proposed here is very efficient ... shown to be useful in saving power and increasing operational times."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -