ORCID
- Sharma, Sanjay: 0000-0002-5062-3199
- Khan, Asiya: 0000-0003-3620-3048
Abstract
© 2018 Efficient motion planning of multiple unmanned surface vehicles (USVs) in a dynamic maritime environment is an important requirement for increasing mission efficiency and achieving motion goals. The current study integrates two approaches of intelligent path planning and virtual target path following guidance for multi-agent USV framework to perform a coordinated and cooperative navigation of USVs in a constrained maritime environment. In the current study, a safety distance constrained A* approach produces an optimal, computationally efficient and collision free path which is later smoothed using a spline to provide an optimal trajectory as input for virtual target based multi-agent guidance framework to navigate multiple USVs. The virtual target approach provides a robust methodology of global and local collision avoidance based on known positions of vehicles. The combined approach is evaluated with the different number of USVs and in different environmental scenarios to understand the effectiveness of approach from the perspective of practicality, safety and robustness.
DOI
10.1016/j.ifacol.2018.09.458
Publication Date
2018-10-11
Publication Title
IFAC-PapersOnLine
Volume
51
Issue
29
First Page
378
Last Page
383
ISSN
2405-8963
Embargo Period
2019-01-08
Organisational Unit
School of Engineering, Computing and Mathematics
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Bibuli, M., Singh, Y., Sharma, S., Sutton, R., Hatton, D., & Khan, A. (2018) 'A Two Layered Optimal Approach towards Cooperative Motion Planning of Unmanned Surface Vehicles in a Constrained Maritime Environment', IFAC-PapersOnLine, 51(29), pp. 378-383. Available at: https://doi.org/10.1016/j.ifacol.2018.09.458
