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

YANG Diange; HE Changwei; LI Man; HE Qiguang

doi:10.16511/j.cnki.qhdxxb.2015.22.019

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Journal of Tsinghua University(Science and Technology) ›› 2015, Vol. 55 ›› Issue (10) : 1093-1097. DOI: 10.16511/j.cnki.qhdxxb.2015.22.019

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

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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.

Key words

driving behavior / moving direction vector / support vector machine / optimal classification

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YANG Diange, HE Changwei, LI Man, HE Qiguang. 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 https://doi.org/10.16511/j.cnki.qhdxxb.2015.22.019

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