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dc.contributor.authorLu, Yibiao
dc.contributor.authorHuo, Xiaoming
dc.contributor.authorTsiotras, Panagiotis
dc.date.accessioned2011-10-28T18:49:05Z
dc.date.available2011-10-28T18:49:05Z
dc.date.issued2010-12
dc.identifier.citationLu, Y., Huo, X., and Tsiotras, P.( 2010). "Beamlet-like Data Processing for Accelerated Path-Planning Using Multiscale Information of the Environment''. Proceedings of the 49th IEEE Conference on Decision and Control (CDC 2010), 15-17 December 2010, pp. 3808-3813.en_US
dc.identifier.urihttp://hdl.handle.net/1853/41933
dc.description©2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en_US
dc.descriptionPresented at the 2010 49th IEEE Conference on Decision and Control (CDC 2010), 15-17 December 2010, Atlanta, GA.
dc.descriptionDOI: 10.1109/CDC.2010.5717586
dc.description.abstractWe consider the deterministic path-planning problem dealing with the single-pair shortest path on a given graph. We propose a multiscale version of the well known A* algorithm (m-A*), which utilizes information of the environment at distinct scales. This information is collected via a bottom-up fusion method. Comparing with existing algorithms such as Dijkstra’s or A*, the use of multiscale information leads to an improvement in terms of computational complexity.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectBottom-up fusionen_US
dc.subjectMultiscale informationen_US
dc.subjectPath-planningen_US
dc.titleBeamlet-like Data Processing for Accelerated Path-Planning Using Multiscale Information of the Environmenten_US
dc.typePost-printen_US
dc.typeProceedings
dc.contributor.corporatenameGeorgia Institute of Technology. School of Aerospace Engineering
dc.contributor.corporatenameGeorgia Institute of Technology. Center for Robotics and Intelligent Machines
dc.publisher.originalInstitute of Electrical and Electronics Engineers


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