中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 机器人学研究室  > 期刊论文
题名: Design and research of automobile anti-collision warning system based on monocular vision sensor with license plate cooperative target
作者: Qin LJ(秦丽娟); Wang T(王挺)
作者部门: 机器人学研究室
通讯作者: 秦丽娟
关键词: Automobile anti-collision warning system ; Monocular vision sensor ; License plate cooperative target ; Positioning
刊名: Multimedia Tools and Applications
ISSN号: 1380-7501
出版日期: 2016
页码: 1-14
收录类别: EI
产权排序: 1
项目资助者: National Natural Science Foundation Project of P. R. China (Grant No.61203163, Grant No.61373089) ; Project of State Key Laboratory of Robotics Fund of P. R. China (2013-O06).
摘要: At present, detection method for the target vehicle based on monocular vision sensor uses the whole vehicle as targets. The automobile anti-collision technology proposed in this paper adopts monocular vision sensor for automobile measurement based on vehicle license plate cooperative target. Monocular vision sensor has advantages of good real-time performance and low cost. The technique can improve the detection capability of vehicle collision avoidance warning systems. In addition to the target vehicle positioning, it can also realize attitude determination. This technology eliminates the limits of road surface roughness and fluctuation. This paper designs the realization scheme of collision warning system based on monocular vision sensor from the automobile license plate cooperative target. Technology roadmap of automobile collision warning system is given. In this paper, license plate frame location is as the research background. The paper presents an analytic solution of positioning method for the license plate frame image. The method uses four vertex characteristics of license plate frame image to locate. Positioning speed of the method is fast. And it has a unique solution. This method can be used to positioning for the license plate frame. Simulation experiment is done for the collision warning location. The simulation results show that this method can locate the position for license plate frame image. License plate is regular shape, uniform, with identity recognition function markers on the automobile body. In the previous research on automotive collision warning and intelligent vehicle, we have not seen the research methods similar to the method introduced in this paper. The research enriches automobile anti-collision technology and theory of intelligent vehicle technology. It can also provide an auxiliary method for navigation and obstacle avoidance research for unmanned vehicle. It has certain scientific significance. Vehicle collision warning system can help the driver judgment, prompting warning, improving driving safety, and has broad application prospects.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/19274
Appears in Collections:机器人学研究室_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
Design and research of automobile anti-collision warning system based on monocular vision sensor with license plate cooperative target.pdf(959KB)期刊论文作者接受稿开放获取View Download

Recommended Citation:
Qin LJ,Wang T. Design and research of automobile anti-collision warning system based on monocular vision sensor with license plate cooperative target[J]. Multimedia Tools and Applications,2016:1-14.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[秦丽娟]'s Articles
[王挺]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[秦丽娟]‘s Articles
[王挺]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: Design and research of automobile anti-collision warning system based on monocular vision sensor with license plate cooperative target.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace