Development of a path follower in real-time environment
Purpose The purpose of this paper is to study the path-planning problem of an unmanned ground vehicle (UGV) in a predefined, structured environment. Design/methodology/approach In this investigation, the environment chosen was the roadmap of the National Institute of Technology, Rourkela, obtained f...
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| Veröffentlicht in: | World journal of engineering 2017-08, Vol.14 (4), p.297-306 |
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| container_title | World journal of engineering |
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| creator | Deepak, B.B.V.L Bahubalendruni, M.V.A. Raju |
| description | Purpose
The purpose of this paper is to study the path-planning problem of an unmanned ground vehicle (UGV) in a predefined, structured environment.
Design/methodology/approach
In this investigation, the environment chosen was the roadmap of the National Institute of Technology, Rourkela, obtained from Google maps as reference. An UGV is developed and programmed so as to move autonomously from an indicated source location to the defined destination in the given map following the most optimal path.
Findings
An algorithm based on linear search is implemented to the autonomous robot to generate shortest paths in the environment. The developed algorithm is verified with the simulations as well as in experimental environments.
Originality/value
Unlike the past methodologies, the current investigation deals with the global path-planning strategy as the line following mechanism. Moreover, the proposed technique has been implemented in a real-time environment. |
| doi_str_mv | 10.1108/WJE-07-2016-0029 |
| format | Article |
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The purpose of this paper is to study the path-planning problem of an unmanned ground vehicle (UGV) in a predefined, structured environment.
Design/methodology/approach
In this investigation, the environment chosen was the roadmap of the National Institute of Technology, Rourkela, obtained from Google maps as reference. An UGV is developed and programmed so as to move autonomously from an indicated source location to the defined destination in the given map following the most optimal path.
Findings
An algorithm based on linear search is implemented to the autonomous robot to generate shortest paths in the environment. The developed algorithm is verified with the simulations as well as in experimental environments.
Originality/value
Unlike the past methodologies, the current investigation deals with the global path-planning strategy as the line following mechanism. Moreover, the proposed technique has been implemented in a real-time environment.</description><identifier>ISSN: 1708-5284</identifier><identifier>EISSN: 2515-8082</identifier><identifier>DOI: 10.1108/WJE-07-2016-0029</identifier><language>eng</language><publisher>Brentwood: Emerald Publishing Limited</publisher><subject>Algorithms ; Automation ; Civil engineering ; Computer engineering ; Computer simulation ; Departments ; Digital mapping ; Electrical engineering ; Immune system ; Mechanical engineering ; Motion control ; Planning ; Real time ; Robots ; Unmanned ground vehicles</subject><ispartof>World journal of engineering, 2017-08, Vol.14 (4), p.297-306</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c311t-4059245310e3f0149a3932085d8ecc026653d63cb2eb0042b77fca99c4b6353a3</citedby><cites>FETCH-LOGICAL-c311t-4059245310e3f0149a3932085d8ecc026653d63cb2eb0042b77fca99c4b6353a3</cites><orcidid>0000-0002-2449-0513</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/WJE-07-2016-0029/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,776,780,961,11614,21674,27901,27902,52664,53219</link.rule.ids></links><search><creatorcontrib>Deepak, B.B.V.L</creatorcontrib><creatorcontrib>Bahubalendruni, M.V.A. Raju</creatorcontrib><title>Development of a path follower in real-time environment</title><title>World journal of engineering</title><description>Purpose
The purpose of this paper is to study the path-planning problem of an unmanned ground vehicle (UGV) in a predefined, structured environment.
Design/methodology/approach
In this investigation, the environment chosen was the roadmap of the National Institute of Technology, Rourkela, obtained from Google maps as reference. An UGV is developed and programmed so as to move autonomously from an indicated source location to the defined destination in the given map following the most optimal path.
Findings
An algorithm based on linear search is implemented to the autonomous robot to generate shortest paths in the environment. The developed algorithm is verified with the simulations as well as in experimental environments.
Originality/value
Unlike the past methodologies, the current investigation deals with the global path-planning strategy as the line following mechanism. Moreover, the proposed technique has been implemented in a real-time environment.</description><subject>Algorithms</subject><subject>Automation</subject><subject>Civil engineering</subject><subject>Computer engineering</subject><subject>Computer simulation</subject><subject>Departments</subject><subject>Digital mapping</subject><subject>Electrical engineering</subject><subject>Immune system</subject><subject>Mechanical engineering</subject><subject>Motion control</subject><subject>Planning</subject><subject>Real time</subject><subject>Robots</subject><subject>Unmanned ground vehicles</subject><issn>1708-5284</issn><issn>2515-8082</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNptkD1PwzAQhi0EElXpzhiJ2fRsx18jKoWCKrGAGC0nvYhUSRyctIh_j6OyIHHLLe_z3ukh5JrBLWNglu_PawqacmCKAnB7RmZcMkkNGH5OZkyDoZKb_JIshmEPaXLFmRYzou_xiE3oW-zGLFSZz3o_fmRVaJrwhTGruyyib-hYt5hhd6xj6KbsFbmofDPg4nfPydvD-nW1oduXx6fV3ZaWgrGR5iAtz6VggKICllsvrOBg5M5gWQJXSoqdEmXBsUhP8ULrqvTWlnmhhBRezMnNqbeP4fOAw-j24RC7dNKlGrBGM6ZSCk6pMoZhiFi5Ptatj9-OgZsMuWTIgXaTITcZSsjyhGCL0Te7_4g_TsUPUk9kcQ</recordid><startdate>20170807</startdate><enddate>20170807</enddate><creator>Deepak, B.B.V.L</creator><creator>Bahubalendruni, M.V.A. Raju</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-2449-0513</orcidid></search><sort><creationdate>20170807</creationdate><title>Development of a path follower in real-time environment</title><author>Deepak, B.B.V.L ; Bahubalendruni, M.V.A. Raju</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c311t-4059245310e3f0149a3932085d8ecc026653d63cb2eb0042b77fca99c4b6353a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Automation</topic><topic>Civil engineering</topic><topic>Computer engineering</topic><topic>Computer simulation</topic><topic>Departments</topic><topic>Digital mapping</topic><topic>Electrical engineering</topic><topic>Immune system</topic><topic>Mechanical engineering</topic><topic>Motion control</topic><topic>Planning</topic><topic>Real time</topic><topic>Robots</topic><topic>Unmanned ground vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Deepak, B.B.V.L</creatorcontrib><creatorcontrib>Bahubalendruni, M.V.A. Raju</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>World journal of engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Deepak, B.B.V.L</au><au>Bahubalendruni, M.V.A. Raju</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of a path follower in real-time environment</atitle><jtitle>World journal of engineering</jtitle><date>2017-08-07</date><risdate>2017</risdate><volume>14</volume><issue>4</issue><spage>297</spage><epage>306</epage><pages>297-306</pages><issn>1708-5284</issn><eissn>2515-8082</eissn><abstract>Purpose
The purpose of this paper is to study the path-planning problem of an unmanned ground vehicle (UGV) in a predefined, structured environment.
Design/methodology/approach
In this investigation, the environment chosen was the roadmap of the National Institute of Technology, Rourkela, obtained from Google maps as reference. An UGV is developed and programmed so as to move autonomously from an indicated source location to the defined destination in the given map following the most optimal path.
Findings
An algorithm based on linear search is implemented to the autonomous robot to generate shortest paths in the environment. The developed algorithm is verified with the simulations as well as in experimental environments.
Originality/value
Unlike the past methodologies, the current investigation deals with the global path-planning strategy as the line following mechanism. Moreover, the proposed technique has been implemented in a real-time environment.</abstract><cop>Brentwood</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/WJE-07-2016-0029</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-2449-0513</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1708-5284 |
| ispartof | World journal of engineering, 2017-08, Vol.14 (4), p.297-306 |
| issn | 1708-5284 2515-8082 |
| language | eng |
| recordid | cdi_proquest_journals_2080987116 |
| source | Standard: Emerald eJournal Premier Collection; Emerald A-Z Current Journals |
| subjects | Algorithms Automation Civil engineering Computer engineering Computer simulation Departments Digital mapping Electrical engineering Immune system Mechanical engineering Motion control Planning Real time Robots Unmanned ground vehicles |
| title | Development of a path follower in real-time environment |
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