ORCID
- Sharma, Sanjay: 0000-0002-5062-3199
Abstract
The growing need of ocean surveying and exploration for scientific and industrial application has led to the requirement of routing strategies for ocean vehicles which are optimal in nature. Most of the optimal path planning for marine vehicles had been conducted offline in a self‐made environment. This paper takes into account a practical marine environment, i.e. Portsmouth Harbour, for finding an optimal path in terms of computational time between source and end points on a real time map for an USV. The current study makes use of a grid map generated from original and uses a Dijkstra algorithm to find the shortest path for a single USV. In order to benchmark the study, a path planning study using a well‐known local path planning method artificial path planning (APF) has been conducted in a real time marine environment and effectiveness is measured in terms of path length and computational time.
DOI
10.12716/1001.12.01.14
Publication Date
2018-03-29
Publication Title
TransNav: International Journal on Marine Navigation and Safety of Sea Transportation
Volume
12
Issue
1
First Page
125
Last Page
131
ISSN
2083-6481
Embargo Period
2018-06-15
Organisational Unit
School of Engineering, Computing and Mathematics
Recommended Citation
Singh, Y., Sharma, S., Sutton, R., & Hatton, D. (2018) 'Towards use of Dijkstra Algorithm for Optimal Navigation of an Unmanned Surface Vehicle in a Real-Time Marine Environment with Results from Artificial Potential Field', TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 12(1), pp. 125-131. Available at: https://doi.org/10.12716/1001.12.01.14
