Title:
Model-Based Echolocation of Environmental Objects
Model-Based Echolocation of Environmental Objects
| dc.contributor.author | Arkin, Ronald C. | |
| dc.contributor.author | Santamaria, Juan Carlos | |
| dc.contributor.corporatename | Georgia Institute of Technology. College of Computing | |
| dc.date.accessioned | 2008-05-27T20:59:48Z | |
| dc.date.available | 2008-05-27T20:59:48Z | |
| dc.date.issued | 1995 | |
| dc.description.abstract | This paper presents an algorithm that can recognize and localize objects given a model of their contours using only ultrasonic range data. The algorithm exploits a physical model of the ultrasonic beam and combines several readings to extract outline object segments from the environment. It then detects patterns of outline segments that correspond to predefined models of object contours, performing both object recognition and localization. The algorithm is robust since it can account for noise and inaccurate readings as well as efficient since it uses a relaxation technique that can incorporate new data incrementally without recalculating from scratch. | en_US |
| dc.identifier.uri | http://hdl.handle.net/1853/22067 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.subject | Echolocation | en_US |
| dc.subject | Object locator | en_US |
| dc.subject | Object recognition | en_US |
| dc.subject | Obstacle localization | en_US |
| dc.subject | Ultrasonic sensors | en_US |
| dc.title | Model-Based Echolocation of Environmental Objects | en_US |
| dc.type | Text | |
| dc.type.genre | Paper | |
| dspace.entity.type | Publication | |
| local.contributor.author | Arkin, Ronald C. | |
| local.contributor.corporatename | College of Computing | |
| local.contributor.corporatename | Mobile Robot Laboratory | |
| local.contributor.corporatename | Institute for Robotics and Intelligent Machines (IRIM) | |
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