Obstacle Detection of a Novel Travel Aid for Visual Impaired People

Ying Jie, Song Yanbin
{"title":"Obstacle Detection of a Novel Travel Aid for Visual Impaired People","authors":"Ying Jie, Song Yanbin","doi":"10.1109/IHMSC.2012.182","DOIUrl":null,"url":null,"abstract":"An obstacles detection algorithm of a novel electronic travel aid for the blind based on stereo vision was proposed. Obstacles detection was realized using a self-adaptive threshold determination algorithm and image morphological processing. Experiments showed that the obstacle detection algorithm is effective and fast. The correct detection rate of obstacles is 96%, which is obtained using the consecutive stereo image sequences captured on the road.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2012.182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

An obstacles detection algorithm of a novel electronic travel aid for the blind based on stereo vision was proposed. Obstacles detection was realized using a self-adaptive threshold determination algorithm and image morphological processing. Experiments showed that the obstacle detection algorithm is effective and fast. The correct detection rate of obstacles is 96%, which is obtained using the consecutive stereo image sequences captured on the road.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种视障人士旅行辅助设备的障碍物检测
提出了一种基于立体视觉的盲人电子助行器障碍物检测算法。采用自适应阈值确定算法和图像形态学处理实现障碍物检测。实验结果表明,该算法有效、快速。利用在道路上采集的连续立体图像序列,获得障碍物的正确率为96%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Obstacle Detection of a Novel Travel Aid for Visual Impaired People Underwater Target Recognition Based on Module Time-frequency Matrix Improved Stability Criterion for Linear Systems with Time-Varying Delay Embedded Automatic Focus Method for Precise Image Sampling A Human Action Recognition Method Based on Tchebichef Moment Invariants and Temporal Templates
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1