Intelligent Regulation Algorithm of Automobile Rear View Mirror based on Eye Location

doi:10.23940/ijpe.19.10.p21.27442752

Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (10): 2744-2752.doi: 10.23940/ijpe.19.10.p21.27442752

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Intelligent Regulation Algorithm of Automobile Rear View Mirror based on Eye Location

Lihua Wu^a^*, Xu Bai^a, Dianshuang Zheng^b, and Jianxin Gai^a

^aSchool of Measurement Control Technology and Communications Engineering, Harbin University of Science and Technology, Harbin, 150080, China
^bHarbin Jiancheng Group Co., Ltd., Harbin, 150080, China

Submitted on ; Revised on ; Accepted on
Contact: Wu Lihua
About author:
* Corresponding author. E-mail address: 13624609698@126.com
Supported by:
This work was supported by the National Natural Science Foundation of China (NSFC) (No 61501150)

Abstract

Abstract:

For the defects in the automobile rear view mirror regulation method, an intelligent regulation algorithm of automobile rear view mirrors is studied in this paper. The algorithm utilizes drivers' images in vehicles gathered by a single camera to determine the practical spatial positions of drivers' binocular centers in the vehicles. Then, through the regulation relationship algorithm between eye location and the rear view mirror, the intelligent regulation of optimal view of automobile rear view mirrors is achieved. The experimental results indicate that the algorithm has the advantages of fast regulation, convenience, and accuracy.

Key words: automobile rear view mirror, intelligent regulation, correction of distorted coordinate point, optimal view

Lihua Wu, Xu Bai, Dianshuang Zheng, and Jianxin Gai. Intelligent Regulation Algorithm of Automobile Rear View Mirror based on Eye Location [J]. Int J Performability Eng, 2019, 15(10): 2744-2752.

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Intelligent Regulation Algorithm of Automobile Rear View Mirror based on Eye Location

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