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Conference Paper: An intelligent navigator for mobile vehicles

TitleAn intelligent navigator for mobile vehicles
Authors
Issue Date1997
PublisherIEEE.
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?
AbstractThis 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 Identifierhttp://hdl.handle.net/10722/45996
ISBN

 

DC FieldValueLanguage
dc.contributor.authorYung, NHCen_HK
dc.contributor.authorYe, Cen_HK
dc.date.accessioned2007-10-30T06:40:15Z-
dc.date.available2007-10-30T06:40:15Z-
dc.date.issued1997en_HK
dc.identifier.citationThe 3rd IEEE International Conference on Neural Information Processing Proceedings, Hong Kong, China, 24-27 September 1996, v. 2, p. 948-953en_HK
dc.identifier.isbn981-3083-04-2en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45996-
dc.description.abstractThis 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.extent244425 bytes-
dc.format.extent10863 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.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.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleAn intelligent navigator for mobile vehiclesen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://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+vehiclesen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.hkuros26715-

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