Blind spot detection using vision for automotive applications

被引：21

作者：

Angel Sotelo, Miguel ^{[1
]}

Barriga, Jose ^{[1
]}

机构：

[1] Univ Alcala de Henares, Dept Elect, Alcala De Henares 28871, Spain

来源：

JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A | 2008年 / 9卷 / 10期

关键词：

computer vision; optical flow; blind spot detection (BSD); intelligent vehicles;

D O I：

10.1631/jzus.A0820111

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper describes a vision-based system for blind spot detection (BSD) in intelligent vehicle applications. A camera is mounted in the lateral mirror of a car with the intention of visually detecting cars that are located in the so-called blind spot and cannot be perceived by the vehicle driver. The detection of cars in the blind spot is carried out using computer vision techniques, based on optical flow and a double-stage data clustering technique for robust vehicle detection.

引用

页码：1369 / 1372

页数：4

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