ALV系统中障碍物检测的立体匹配方法

Xia Yongquan, Zhi Jun, Huang Min, Liu Weili, Ma Rui
{"title":"ALV系统中障碍物检测的立体匹配方法","authors":"Xia Yongquan, Zhi Jun, Huang Min, Liu Weili, Ma Rui","doi":"10.1109/CSSE.2008.1071","DOIUrl":null,"url":null,"abstract":"In ALV system based on stereo vision, the obstacle detection is one of the most important problems. In this paper, an algorithm is proposed based on moment invariant to detect obstacle in ALV system. Firstly, a simple method is applied to binarize the images by the defined binarization function; Secondly, the binarized images are segmented using outer contour tracing algorithm and regions of left and right images are detected respectively; Lastly, the regions are matched between left and right image, the successful matched regions are the likely obstacle. Stereo pairs captured from ALV system are used to test the proposed algorithm, the result indicate that the approach is valid and feasible.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"38 1","pages":"1103-1106"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Stereo Matching Approach to Detect Obstacle in ALV System\",\"authors\":\"Xia Yongquan, Zhi Jun, Huang Min, Liu Weili, Ma Rui\",\"doi\":\"10.1109/CSSE.2008.1071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In ALV system based on stereo vision, the obstacle detection is one of the most important problems. In this paper, an algorithm is proposed based on moment invariant to detect obstacle in ALV system. Firstly, a simple method is applied to binarize the images by the defined binarization function; Secondly, the binarized images are segmented using outer contour tracing algorithm and regions of left and right images are detected respectively; Lastly, the regions are matched between left and right image, the successful matched regions are the likely obstacle. Stereo pairs captured from ALV system are used to test the proposed algorithm, the result indicate that the approach is valid and feasible.\",\"PeriodicalId\":6460,\"journal\":{\"name\":\"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)\",\"volume\":\"38 1\",\"pages\":\"1103-1106\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSSE.2008.1071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSSE.2008.1071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在基于立体视觉的自动驾驶汽车系统中,障碍物检测是最重要的问题之一。本文提出了一种基于矩不变的自动驾驶汽车系统障碍物检测算法。首先,采用一种简单的方法,通过定义二值化函数对图像进行二值化;其次,利用外轮廓跟踪算法对二值化后的图像进行分割,分别检测左右图像的区域;最后,在左右图像之间进行区域匹配,匹配成功的区域为可能的障碍物。利用从ALV系统捕获的立体图像对所提算法进行了测试,结果表明该方法是有效可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Stereo Matching Approach to Detect Obstacle in ALV System
In ALV system based on stereo vision, the obstacle detection is one of the most important problems. In this paper, an algorithm is proposed based on moment invariant to detect obstacle in ALV system. Firstly, a simple method is applied to binarize the images by the defined binarization function; Secondly, the binarized images are segmented using outer contour tracing algorithm and regions of left and right images are detected respectively; Lastly, the regions are matched between left and right image, the successful matched regions are the likely obstacle. Stereo pairs captured from ALV system are used to test the proposed algorithm, the result indicate that the approach is valid and feasible.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信