Efficient path planning algorithms for Unmanned Surface Vehicle

Simple item page
dc.contributor.authorNiu, Hanlin
dc.contributor.authorLu, Yu
dc.contributor.authorSavvaris, Al
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2016-12-05T12:26:52Z
dc.date.available2016-12-05T12:26:52Z
dc.date.issued2016-11-01
dc.description.abstractThe C-Enduro Unmanned Surface Vehicle (USV) is designed to operate at sea for extended periods of time (up to 3 months). To increase the endurance capability of the USV, an energy efficient path planning algorithm is developed. The proposed path planning algorithm integrates the Voronoi diagram, Visibility algorithm, Dijkstra search algorithm and takes also into account the sea current data. Ten USV simulated mission scenarios at different time of day and start/end points were analysed. The proposed approach shows that the amount of energy saved can be up to 21%. Moreover, the proposed algorithm can be used to calculate a collision free and energy efficient path to keep the USV safe and improve the USV capability. The safety distance between the USV and the coastline can also be configured by the user.en_UK
dc.identifier.citationNiu H, Lu Y, Savvaris A, Tsourdos A, Efficient path planning algorithms for Unmanned Surface Vehicle, IFAC-PapersOnLine,Volume 49, Issue 23, 2016, Pages 121–126, 10th IFAC Conference on Control Applications in Marine SystemsCAMS 2016 — Trondheim, Norway, 13—16 September 2016.en_UK
dc.identifier.issn2405-8963
dc.identifier.urihttp://dx.doi.org/10.1016/j.ifacol.2016.10.331
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/11081
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-Non-Commercial-No Derivatives 3.0 (CC BY-NC-ND 3.0). You are free to: Share — copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.subjectunmanned surface vehiclesen_UK
dc.subjectcollision avoidanceen_UK
dc.subjectVoronoi diagramen_UK
dc.subjectVisibility graphen_UK
dc.subjectpath planningen_UK
dc.titleEfficient path planning algorithms for Unmanned Surface Vehicleen_UK
dc.typeConference paperen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Efficient_path_planning_algorithm_of_unmanned_surface_vehicle-2016.pdf
Size:
1.02 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.79 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)