A monocular-vision-based driver assistance system for collision avoidance

被引：0

作者：

Liao, CJ ^{[1
]}

Qin, XH ^{[1
]}

Huang, XY ^{[1
]}

Chai, Y ^{[1
]}

Zhou, X ^{[1
]}

机构：

[1] Chongqing Univ, Coll Automat, Chongqing 400044, Peoples R China

来源：

2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2 | 2003年

关键词：

driver assistance; collision avoidance; expert system; information fusion;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we describe the algorithms that how to track the feature points and how to establish the math model of lanes. An algorithm based on extend Kalman filter for dynamic target tracking is presented in this paper. Analyze the usual calculation method of distance by multi-eye, and present a real-time and efficient calculation method that makes use of computer vision theory to realize the measurement of the distance of an obstacle in the high way by single-eye. As the experiment show, the system has a good real-time property, high accuracy so as to measure up to the practical requirement This thesis studies the driving-habits discovery model of steering vehicle for a vehicle-safety expert system.

引用

页码：463 / 468

页数：6

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