Vision based intersection navigation
Much progress has been made toward understanding the autonomous on-road navigation problem using vision based methods. A next step in this evolution is the intelligent detection and traversal of road junctions and intersections. The techniques presented in this paper are based on a data driven, acti...
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| creator | Jochem, T.M. Pomerleau, D.A. Thorpe, C.E. |
| description | Much progress has been made toward understanding the autonomous on-road navigation problem using vision based methods. A next step in this evolution is the intelligent detection and traversal of road junctions and intersections. The techniques presented in this paper are based on a data driven, active philosophy of vision based intersection navigation. Traversal is accomplished by imaging relevant parts of the intersection using a combination of active camera control techniques and a virtual active vision tool called a virtual camera. By monitoring the response of the underlying lane keeping system to the created images, intersections and road junctions can be detected and traversed. |
| doi_str_mv | 10.1109/IVS.1996.566412 |
| format | Conference Proceeding |
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A next step in this evolution is the intelligent detection and traversal of road junctions and intersections. The techniques presented in this paper are based on a data driven, active philosophy of vision based intersection navigation. Traversal is accomplished by imaging relevant parts of the intersection using a combination of active camera control techniques and a virtual active vision tool called a virtual camera. By monitoring the response of the underlying lane keeping system to the created images, intersections and road junctions can be detected and traversed.</description><identifier>ISBN: 9780780336520</identifier><identifier>ISBN: 0780336526</identifier><identifier>DOI: 10.1109/IVS.1996.566412</identifier><language>eng</language><publisher>IEEE</publisher><subject>Cameras ; Control systems ; Geometry ; Intelligent robots ; Motion planning ; Navigation ; Roads ; Robot vision systems ; Solid modeling ; Vehicle detection</subject><ispartof>Proceedings of Conference on Intelligent Vehicles, 1996, p.391-396</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c150t-e6bc670b230007c0bb2bb610e6708e392877ae50b79a10aa402a985bf1ac4d033</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/566412$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,781,785,790,791,2059,4051,4052,27929,54924</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/566412$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jochem, T.M.</creatorcontrib><creatorcontrib>Pomerleau, D.A.</creatorcontrib><creatorcontrib>Thorpe, C.E.</creatorcontrib><title>Vision based intersection navigation</title><title>Proceedings of Conference on Intelligent Vehicles</title><addtitle>IVS</addtitle><description>Much progress has been made toward understanding the autonomous on-road navigation problem using vision based methods. A next step in this evolution is the intelligent detection and traversal of road junctions and intersections. The techniques presented in this paper are based on a data driven, active philosophy of vision based intersection navigation. Traversal is accomplished by imaging relevant parts of the intersection using a combination of active camera control techniques and a virtual active vision tool called a virtual camera. By monitoring the response of the underlying lane keeping system to the created images, intersections and road junctions can be detected and traversed.</description><subject>Cameras</subject><subject>Control systems</subject><subject>Geometry</subject><subject>Intelligent robots</subject><subject>Motion planning</subject><subject>Navigation</subject><subject>Roads</subject><subject>Robot vision systems</subject><subject>Solid modeling</subject><subject>Vehicle detection</subject><isbn>9780780336520</isbn><isbn>0780336526</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotT8tKA0EQHBAhEvcc8JSD1127Z3ZeRwk-AgEPaq6he9KREV1lZxH8eyfEoqCLOlR1KbVA6BAh3qy3zx3G6DrrXI_6TDXRB6g0xlkNM9WU8g4VvbU62At1vc0lfw1LpiL7ZR4mGYuk6WgN9JPf6Cgv1fmBPoo0_3euXu_vXlaP7ebpYb263bQJLUytOE7OA2tTC3wCZs3sEKSaQUzUwXsSC-wjIRD1oCkGywek1O_ri3N1dcrNIrL7HvMnjb-70xTzBziNPTU</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Jochem, T.M.</creator><creator>Pomerleau, D.A.</creator><creator>Thorpe, C.E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1996</creationdate><title>Vision based intersection navigation</title><author>Jochem, T.M. ; Pomerleau, D.A. ; Thorpe, C.E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c150t-e6bc670b230007c0bb2bb610e6708e392877ae50b79a10aa402a985bf1ac4d033</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Cameras</topic><topic>Control systems</topic><topic>Geometry</topic><topic>Intelligent robots</topic><topic>Motion planning</topic><topic>Navigation</topic><topic>Roads</topic><topic>Robot vision systems</topic><topic>Solid modeling</topic><topic>Vehicle detection</topic><toplevel>online_resources</toplevel><creatorcontrib>Jochem, T.M.</creatorcontrib><creatorcontrib>Pomerleau, D.A.</creatorcontrib><creatorcontrib>Thorpe, C.E.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jochem, T.M.</au><au>Pomerleau, D.A.</au><au>Thorpe, C.E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Vision based intersection navigation</atitle><btitle>Proceedings of Conference on Intelligent Vehicles</btitle><stitle>IVS</stitle><date>1996</date><risdate>1996</risdate><spage>391</spage><epage>396</epage><pages>391-396</pages><isbn>9780780336520</isbn><isbn>0780336526</isbn><abstract>Much progress has been made toward understanding the autonomous on-road navigation problem using vision based methods. A next step in this evolution is the intelligent detection and traversal of road junctions and intersections. The techniques presented in this paper are based on a data driven, active philosophy of vision based intersection navigation. Traversal is accomplished by imaging relevant parts of the intersection using a combination of active camera control techniques and a virtual active vision tool called a virtual camera. By monitoring the response of the underlying lane keeping system to the created images, intersections and road junctions can be detected and traversed.</abstract><pub>IEEE</pub><doi>10.1109/IVS.1996.566412</doi><tpages>6</tpages></addata></record> |
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| identifier | ISBN: 9780780336520 |
| ispartof | Proceedings of Conference on Intelligent Vehicles, 1996, p.391-396 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cameras Control systems Geometry Intelligent robots Motion planning Navigation Roads Robot vision systems Solid modeling Vehicle detection |
| title | Vision based intersection navigation |
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