Vision-based blind spot detection using optical flow

被引：0

作者：

Sotelo, M. A. ^{[1
]}

Barriga, J. ^{[1
]}

Fernandez, D. ^{[1
]}

Parra, I. ^{[1
]}

Naranjo, J. E. ^{[2
]}

Marron, M. ^{[1
]}

Alvarez, S. ^{[1
]}

Gavilan, M. ^{[1
]}

机构：

[1] Univ Alcala de Henares, Dept Elect, Madrid, Spain

[2] CSIC, Ind Automat Inst, Madrid, Spain

来源：

COMPUTER AIDED SYSTEMS THEORY- EUROCAST 2007 | 2007年 / 4739卷

关键词：

computer vision; optical flow; blind spot; intelligent vehicles;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper describes a vision-based system for blind spot detection in intelligent vehicle applications. A camera is mounted in the lateral mirror of a car with the intention of visually detecting cars that can not be perceived by the vehicle driver since they are located in the so-called blind spot. The detection of cars in the blind spot is carried out using computer vision techniques, based on optical flow and data clustering, as described in the following lines.

引用

页码：1113 / +

页数：2

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