Intelligent Vehicle Navigation System Based on Multi-visual Cognition Information

被引：0

作者：

Yang, Jingbao ^{[1
]}

Zhang, Gaowei ^{[1
,2
]}

Song, Chunlei ^{[2
]}

Shen, Zhonghong ^{[2
]}

机构：

[1] Chinese PLA, Unit 91404, Qinhuangdao, Peoples R China

[2] Beijing Inst Technol, Sch Auto, Beijing, Peoples R China

来源：

CONSTRUCTION AND URBAN PLANNING, PTS 1-4 | 2013年 / 671-674卷

关键词：

Multi-visual cognition; Autocorrelation; Traffic sign detection; Traffic lights detection; Lane line detection; Intelligent vehicle navigation system;

D O I：

10.4028/www.scientific.net/AMR.671-674.2893

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Visual cognition system is an important research content of intelligent vehicle control system. This paper researched traffic lights recognition, lane line identification and traffic sign recognition which consist of vehicle intelligent multi-visual cognition system. The intelligent vehicle navigation system based on multi-visual cognition information fusion was also built and some algorithms had been tested on the real unmanned vehicle which led a good result.

引用

页码：2893 / +

页数：2

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