A Forward Collision Avoidance System Adopting Multi-feature Vehicle Detection

dc.citation.woscount	0	en_US
dc.contributor.author	Chen, Guan-Yu	en_US
dc.contributor.author	Shen, Po-Chun	en_US
dc.contributor.author	Cho, Chao-Yi	en_US
dc.contributor.author	Vinay, M. S.	en_US
dc.contributor.author	Guo, Jiun-In	en_US
dc.contributor.department	交大名義發表	zh_TW
dc.contributor.department	National Chiao Tung University	en_US
dc.date.accessioned	2015-12-02T03:00:58Z
dc.date.available	2015-12-02T03:00:58Z
dc.date.issued	2014-01-01	en_US
dc.description.abstract	This 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.identifier.isbn	978-1-4799-4851-2	en_US
dc.identifier.issn		en_US
dc.identifier.journal	2014 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW)	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/128609
dc.identifier.wosnumber	WOS:000361019800057	en_US
dc.language.iso	en_US	en_US
dc.title	A Forward Collision Avoidance System Adopting Multi-feature Vehicle Detection	en_US
dc.type	Proceedings Paper	en_US

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