USV Navigation in a Real-Time Map using Intelligent Path Planner
dc.contributor.author | Singh, Y | |
dc.contributor.author | sharma, sanjay | |
dc.contributor.author | Sutton, R | |
dc.contributor.author | Hatton, Daniel | |
dc.date.accessioned | 2018-01-17T09:22:37Z | |
dc.date.available | 2018-01-17T09:22:37Z | |
dc.date.issued | 2017-11-13 | |
dc.identifier.issn | 2168-9873 | |
dc.identifier.issn | 2168-9873 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/10602 | |
dc.description | Oral presentation and print abstract only; no proceedings. Abstract appeared in Journal of Applied Mechanical Engineering | |
dc.description.abstract |
Unmanned surface vehicles (USV) are the recent trend in marine robotics due to their diverse application and easy deployment. Navigation of such USV in a real time marine environment is a major challenge and creates a need towards development of intelligent path planners which can increase the system autonomy. Many such intelligent path planning studies have been conducted in the area of mobile robotics but needs a lot more research to be conducted in area of marine robotics. In this study, a well know intelligent path planner A* has been implemented in a real time map using safety distance from obstacle as the criteria towards generating optimal trajectory for a single USV navigation. Different safety distances from obstacles ranging from 10 pixels to 40 pixels have been used to generate optimal trajectory and comparative performance has been analyzed in terms of computational time and path length. In this study, Portsmouth Harbour has been considered as area of study to determine the effectiveness of A* algorithm with different safety distance from obstacle as constraint. Algorithm has been validated on computer-based simulations using C++ and OpenCV libraries. | |
dc.format.extent | 38-38 | |
dc.language.iso | en | |
dc.publisher | OMICS Publishing Group | |
dc.title | USV Navigation in a Real-Time Map using Intelligent Path Planner | |
dc.type | conference | |
plymouth.date-start | 2017-11-13 | |
plymouth.date-finish | 2017-11-14 | |
plymouth.issue | 6, supplement | |
plymouth.volume | 6 | |
plymouth.conference-name | International Conference on Mechatronics, Automation and Smart Materials | |
plymouth.publication-status | Published | |
plymouth.journal | Journal of Applied Mechanical Engineering | |
dc.identifier.doi | 10.4172/2168-9873-C1-014 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
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/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 | |
dc.publisher.place | Paris | |
dcterms.dateAccepted | 2017-06-30 | |
dc.identifier.eissn | 2168-9873 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.4172/2168-9873-C1-014 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2017-11-13 | |
rioxxterms.type | Conference Paper/Proceeding/Abstract |