Title:
Beamlet-like Data Processing for Accelerated Path-Planning Using Multiscale Information of the Environment
Beamlet-like Data Processing for Accelerated Path-Planning Using Multiscale Information of the Environment
| dc.contributor.author | Lu, Yibiao | |
| dc.contributor.author | Huo, Xiaoming | |
| dc.contributor.author | Tsiotras, Panagiotis | |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Aerospace Engineering | |
| dc.contributor.corporatename | Georgia Institute of Technology. Center for Robotics and Intelligent Machines | |
| dc.date.accessioned | 2011-10-28T18:49:05Z | |
| dc.date.available | 2011-10-28T18:49:05Z | |
| dc.date.issued | 2010-12 | |
| 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.description | Presented at the 2010 49th IEEE Conference on Decision and Control (CDC 2010), 15-17 December 2010, Atlanta, GA. | |
| dc.description | DOI: 10.1109/CDC.2010.5717586 | |
| dc.description.abstract | We 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.identifier.citation | Lu, 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.uri | http://hdl.handle.net/1853/41933 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.publisher.original | Institute of Electrical and Electronics Engineers | |
| dc.subject | Bottom-up fusion | en_US |
| dc.subject | Multiscale information | en_US |
| dc.subject | Path-planning | en_US |
| dc.title | Beamlet-like Data Processing for Accelerated Path-Planning Using Multiscale Information of the Environment | en_US |
| dc.type | Text | |
| dc.type.genre | Post-print | |
| dc.type.genre | Proceedings | |
| dspace.entity.type | Publication | |
| local.contributor.author | Tsiotras, Panagiotis | |
| local.contributor.author | Huo, Xiaoming | |
| local.contributor.corporatename | Unmanned Aerial Vehicle Research Facility | |
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