Autonomous Vehicle Path Planning with Remote Sensing Data

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dc.contributor.authorDalton, Aaron Jamesen
dc.contributor.committeechairCarstensen, Laurence W.en
dc.contributor.committeememberWicks, Alfred L.en
dc.contributor.committeememberCampbell, James B. Jr.en
dc.contributor.departmentGeographyen
dc.date.accessioned2014-03-14T20:50:06Zen
dc.date.adate2009-01-22en
dc.date.available2014-03-14T20:50:06Zen
dc.date.issued2008-12-02en
dc.date.rdate2010-12-22en
dc.date.sdate2008-12-16en
dc.description.abstractLong range path planning for an autonomous ground vehicle with minimal a-priori data is still very much an open problem. Previous research has demonstrated that least cost paths generated from aerial LIDAR and GIS data could play a role in automatically determining suitable routes over otherwise unknown terrain. However, most of this research has been theoretical. Consequently, there is very little literature the effectiveness of these techniques in plotting paths of an actual autonomous vehicle. This research aims to develop an algorithm for using aerial LIDAR and imagery to plan paths for a full size autonomous car. Methods of identifying obstacles and potential roadways from the aerial LIDAR and imagery are reviewed. A scheme for integrating the path planning algorithms into the autonomous vehicle existing systems was developed and eight paths were generated and driven by an autonomous vehicle. The paths were then analyzed for their drivability and the model itself was validated against the vehicle measurements. The methods described were found to be suitable for generating paths both on and off road.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-12162008-152233en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-12162008-152233/en
dc.identifier.urihttp://hdl.handle.net/10919/36204en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartThesis-Final.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectpath planningen
dc.subjectautonomous vehiclesen
dc.subjectremote sensingen
dc.titleAutonomous Vehicle Path Planning with Remote Sensing Dataen
dc.typeThesisen
thesis.degree.disciplineGeographyen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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