Title:
Enhancing Fuzzy Robot Navigation Systems by Mimicking Human Visual Perception of Natural Terrain Traversability
Enhancing Fuzzy Robot Navigation Systems by Mimicking Human Visual Perception of Natural Terrain Traversability
| dc.contributor.author | Howard, Ayanna M. | en_US |
| dc.contributor.author | Tunstel, Edward | en_US |
| dc.contributor.author | Edwards, Dean | en_US |
| dc.contributor.author | Carlson, Alan | en_US |
| dc.contributor.corporatename | Jet Propulsion Laboratory (U.S.) | en_US |
| dc.contributor.corporatename | University of Idaho. Dept. of Mechanical Engineering | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. Center for Robotics and Intelligent Machines | en_US |
| dc.date.accessioned | 2011-04-08T18:58:18Z | |
| dc.date.available | 2011-04-08T18:58:18Z | |
| dc.date.issued | 2001-07 | |
| dc.description | ©2001 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 Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, Canada, July 2001. | en_US |
| dc.description | DOI: 10.1109/NAFIPS.2001.944218 | en_US |
| dc.description.abstract | This paper presents a technique for learning to assess terrain traversability for outdoor mobile robot navigation using human-embedded logic and real-time perception of terrain features extracted from image data. The methodology utilizes a fuzzy logic framework and vision algorithms for analysis of the terrain. The terrain assessment and learning methodology is tested and validated with a set of realworld image data acquired by an onboard vision system. | en_US |
| dc.identifier.citation | Howard, E. Tunstel, D. Edwards, A. Carlson, “Enhancing Fuzzy Robot Navigation Systems by Mimicking Human Visual Perception of Natural Terrain Traversability,” Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, Canada, July 2001, Vol. 1, 7-12. | en_US |
| dc.identifier.doi | 10.1109/NAFIPS.2001.944218 | |
| dc.identifier.isbn | 0-7803-7078-3 | |
| dc.identifier.uri | http://hdl.handle.net/1853/38463 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.publisher.original | Institute of Electrical and Electronics Engineers | en_US |
| dc.subject | Fuzzy logic | en_US |
| dc.subject | Fuzzy robot navigation systems | en_US |
| dc.subject | Human visual perception | en_US |
| dc.subject | Natural terrains | en_US |
| dc.subject | Onboard vision system | en_US |
| dc.subject | Outdoor mobile robot navigation | en_US |
| dc.subject | Real-time perception | en_US |
| dc.subject | Terrain assessment | en_US |
| dc.subject | Vision algorithms | en_US |
| dc.title | Enhancing Fuzzy Robot Navigation Systems by Mimicking Human Visual Perception of Natural Terrain Traversability | en_US |
| dc.type | Text | |
| dc.type.genre | Proceedings | |
| dspace.entity.type | Publication | |
| local.contributor.author | Howard, Ayanna M. | |
| local.contributor.corporatename | School of Civil and Environmental Engineering | |
| local.contributor.corporatename | Institute for Robotics and Intelligent Machines (IRIM) | |
| relation.isAuthorOfPublication | 6d77e175-105c-4b0b-9548-31f20e60e20a | |
| relation.isOrgUnitOfPublication | 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c | |
| relation.isOrgUnitOfPublication | 66259949-abfd-45c2-9dcc-5a6f2c013bcf |
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