Vehicle steering and lane-changing behavior recognition based on a support vector machine

doi:10.16511/j.cnki.qhdxxb.2015.22.019

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Abstract Driving behavior plays an important role in fuel consumption and safe driving. Thus, driving behavior recognition can improve driving safety and optimize energy use. This study presents a steering and lane-changing behavior recognition system based on the vehicle status obtained from a steering wheel angle sensor. A support vector machine linear classifier is then used to analyze the vehicle body transfer angle and maximum steering angle given by a moving direction vector model. Lagrange number multiplication and quadratic programming are used in an optimal classifier for recognizing steering and lane-changing behavior. Real vehicle tests show that this methodology has 98% accuracy for steering and lane-changing behavior recognition. This system can be integrated into a warning and control system to improve driving safety.

Keywords driving behavior moving direction vector support vector machine optimal classification

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U491

Issue Date: 15 October 2015

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	YANG Diange
	HE Changwei
	LI Man
	HE Qiguang

Cite this article:

YANG Diange,HE Changwei,LI Man, et al. Vehicle steering and lane-changing behavior recognition based on a support vector machine[J]. Journal of Tsinghua University(Science and Technology), 2015, 55(10): 1093-1097.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2015.22.019 OR http://jst.tsinghuajournals.com/EN/Y2015/V55/I10/1093

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