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dc.contributor.authorChen, Guan-Yuen_US
dc.contributor.authorShen, Po-Chunen_US
dc.contributor.authorCho, Chao-Yien_US
dc.contributor.authorVinay, M. S.en_US
dc.contributor.authorGuo, Jiun-Inen_US
dc.date.accessioned2015-12-02T03:00:58Z-
dc.date.available2015-12-02T03:00:58Z-
dc.date.issued2014-01-01en_US
dc.identifier.isbn978-1-4799-4851-2en_US
dc.identifier.issnen_US
dc.identifier.urihttp://hdl.handle.net/11536/128609-
dc.description.abstractThis paper presents a vehicle collision avoidance method and it is associated with the exploitation of multiple features based on the AdaBoost classifier result. The proposed system will enhance the precision rate and accuracy of vehicle detection from 72% to 96% using an AdaBoost detection method extracting multiple features in vehicle detection and false alarms are reduced.en_US
dc.language.isoen_USen_US
dc.titleA Forward Collision Avoidance System Adopting Multi-feature Vehicle Detectionen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2014 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW)en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000361019800057en_US
dc.citation.woscount0en_US
顯示於類別:會議論文