Obstacle Avoidance Approaches for Autonomous Navigation of Unmanned Surface Vehicles
dc.contributor.author | Polvara, R | |
dc.contributor.author | sharma, sanjay | |
dc.contributor.author | Wan, Jian | |
dc.contributor.author | Manning, Andrew | |
dc.contributor.author | Sutton, R | |
dc.date.accessioned | 2017-10-12T12:30:09Z | |
dc.date.issued | 2017-10-10 | |
dc.identifier.issn | 0373-4633 | |
dc.identifier.issn | 1469-7785 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/10053 | |
dc.description.abstract |
<jats:p>The adoption of a robust collision avoidance module is required to realise fully autonomous Unmanned Surface Vehicles (USVs). In this work, collision detection and path planning methods for USVs are presented. Attention is focused on the difference between local and global path planners, describing the most common techniques derived from classical graph search theory. In addition, a dedicated section is reserved for intelligent methods, such as artificial neural networks and evolutionary algorithms. Born as optimisation methods, they can learn a close-to-optimal solution without requiring large computation effort under certain constraints. Finally, the deficiencies of the existing methods are highlighted and discussed. It has been concluded that almost all the existing method do not address sea or weather conditions, or do not involve the dynamics of the vessel while defining the path. Therefore, this research area is still far from being considered fully explored.</jats:p> | |
dc.format.extent | 241-256 | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | Cambridge University Press (CUP) | |
dc.subject | Unmanned Surface Vehicle | |
dc.subject | Collision Avoidance | |
dc.subject | Path Planning | |
dc.title | Obstacle Avoidance Approaches for Autonomous Navigation of Unmanned Surface Vehicles | |
dc.type | journal-article | |
dc.type | Journal Article | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000429283700014&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.issue | 1 | |
plymouth.volume | 71 | |
plymouth.publication-status | Published | |
plymouth.journal | Journal of Navigation | |
dc.identifier.doi | 10.1017/S0373463317000753 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Biological and Marine Sciences | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA07 Earth Systems and Environmental Sciences | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering | |
plymouth.organisational-group | /Plymouth/Research Groups | |
plymouth.organisational-group | /Plymouth/Research Groups/Marine Institute | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
plymouth.organisational-group | /Plymouth/Users by role/Researchers in ResearchFish submission | |
dcterms.dateAccepted | 2017-09-07 | |
dc.rights.embargodate | 2018-4-10 | |
dc.identifier.eissn | 1469-7785 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1017/S0373463317000753 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2017-10-10 | |
rioxxterms.type | Journal Article/Review |