Research on Vehicle Detection Algorithm of Driver Assistance System Based on Vision

被引：0

作者：

Yuan, Chenyang ^{[1
]}

Huo, Chunbao ^{[1
]}

Tong, Zhibo ^{[2
]}

Men, Guangwen ^{[1
]}

Wang, Yan ^{[3
]}

机构：

[1] Liaoning Univ Technol, Jinzhou 121001, Peoples R China

[2] State Grid Jinzhou Elect Power Supply Co, Jinzhou 121000, Peoples R China

[3] Beijing Inst Graph Commun, Beijing 102600, Peoples R China

来源：

PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年

关键词：

Auxiliary Driving; Vehicle Detection; Digital Image Processing; Machine Learning;

D O I：

10.1109/ccdc.2019.8832946

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Vehicle detection is the key component of driver assistance system based on computer vision. It is the basis for speed measurement, ranging and anti-collision. As an important part, it received wide attention and was developed rapidly in recent years. The complexity of the background environment and the real-time change brings great difficulty to vehicle detection. In this paper, a monocular camera is installed in front of the vehicle to collect images, and the digital image processing technology combined with machine learning is used for the vehicle detection. This process can be divided into two stages: the rapid positioning of the target and the target recognition. The experiments show that vehicles can be detected in the image quickly and effectively by this algorithm.

引用

页码：1024 / 1027

页数：4

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