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Conference Paper: An intelligent navigator for mobile vehicles
| Title | An intelligent navigator for mobile vehicles |
|---|---|
| Authors | |
| Issue Date | 1997 |
| Publisher | IEEE. |
| Citation | The 3rd IEEE International Conference on Neural Information Processing Proceedings, Hong Kong, China, 24-27 September 1996, v. 2, p. 948-953 How to Cite? |
| Abstract | This paper presents an intelligent navigation method for navigation of a mobile vehicle in unknown environments. The proposed navigator consists of three modules: Obstacle Avoidor, Environment Evaluator and Navigation Supervisor. The Obstacle Avoidor is a fuzzy controller whose rule base is learnt through reinforcement learning. A new and powerful training method is proposed to construct the fuzzy rules automatically. The Navigation Supervisor determines the tactical requirement of avoiding obstacles or moving towards the goal location at each action step so that the vehicle can achieve its task without colliding with obstacles. The effectiveness of the learning method and the whole navigator are verified by simulation. |
| Persistent Identifier | http://hdl.handle.net/10722/45996 |
| ISBN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yung, NHC | en_HK |
| dc.contributor.author | Ye, C | en_HK |
| dc.date.accessioned | 2007-10-30T06:40:15Z | - |
| dc.date.available | 2007-10-30T06:40:15Z | - |
| dc.date.issued | 1997 | en_HK |
| dc.identifier.citation | The 3rd IEEE International Conference on Neural Information Processing Proceedings, Hong Kong, China, 24-27 September 1996, v. 2, p. 948-953 | en_HK |
| dc.identifier.isbn | 981-3083-04-2 | en_HK |
| dc.identifier.uri | http://hdl.handle.net/10722/45996 | - |
| dc.description.abstract | This paper presents an intelligent navigation method for navigation of a mobile vehicle in unknown environments. The proposed navigator consists of three modules: Obstacle Avoidor, Environment Evaluator and Navigation Supervisor. The Obstacle Avoidor is a fuzzy controller whose rule base is learnt through reinforcement learning. A new and powerful training method is proposed to construct the fuzzy rules automatically. The Navigation Supervisor determines the tactical requirement of avoiding obstacles or moving towards the goal location at each action step so that the vehicle can achieve its task without colliding with obstacles. The effectiveness of the learning method and the whole navigator are verified by simulation. | en_HK |
| dc.format.extent | 244425 bytes | - |
| dc.format.extent | 10863 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.format.mimetype | text/plain | - |
| dc.language | eng | en_HK |
| dc.publisher | IEEE. | en_HK |
| dc.rights | ©1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | en_HK |
| dc.title | An intelligent navigator for mobile vehicles | en_HK |
| dc.type | Conference_Paper | en_HK |
| dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=981-3083-04-2&volume=2&spage=948&epage=953&date=1997&atitle=An+intelligent+navigator+for+mobile+vehicles | en_HK |
| dc.description.nature | published_or_final_version | en_HK |
| dc.identifier.hkuros | 26715 | - |