视障人士的远距离穿越意识与低洼障碍物协商

Kailun Yang, Kaiwei Wang, Shufei Lin, J. Bai, L. Bergasa, R. Arroyo
{"title":"视障人士的远距离穿越意识与低洼障碍物协商","authors":"Kailun Yang, Kaiwei Wang, Shufei Lin, J. Bai, L. Bergasa, R. Arroyo","doi":"10.1145/3209914.3209943","DOIUrl":null,"url":null,"abstract":"The application of RGB-D sensors provides a revolutionary force in the research field of computer vision, where traversable area detection and obstacle avoidance are the fundamental topics to aid visually impaired people. However, the detection using RGB-D sensors is limited by the sparse depth map and the narrow field of view, which hampers longer traversability awareness and lower obstacle negotiation. This paper proposes an effective approach to combine a pair of wearable smart glasses and a waist-worn pathfinder to assist the visually impaired. Traversable lines are generated to feedback the visually impaired through real-time stereo sound after real-world coordinates adjustment with a RealSense R200 (RGB-D sensor) and an IMU integrated in the pair of smart glasses. Low-lying obstacles are detected by using another RGB-D sensor of RealSense, the RS410, as the waist-worn pathfinder to provide early warning. Indoor and outdoor detection results as well as a field test demonstrate the usefulness and effectiveness of our approach.","PeriodicalId":174382,"journal":{"name":"Proceedings of the 1st International Conference on Information Science and Systems","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Long-Range Traversability Awareness and Low-Lying Obstacle Negotiation with RealSense for the Visually Impaired\",\"authors\":\"Kailun Yang, Kaiwei Wang, Shufei Lin, J. Bai, L. Bergasa, R. Arroyo\",\"doi\":\"10.1145/3209914.3209943\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The application of RGB-D sensors provides a revolutionary force in the research field of computer vision, where traversable area detection and obstacle avoidance are the fundamental topics to aid visually impaired people. However, the detection using RGB-D sensors is limited by the sparse depth map and the narrow field of view, which hampers longer traversability awareness and lower obstacle negotiation. This paper proposes an effective approach to combine a pair of wearable smart glasses and a waist-worn pathfinder to assist the visually impaired. Traversable lines are generated to feedback the visually impaired through real-time stereo sound after real-world coordinates adjustment with a RealSense R200 (RGB-D sensor) and an IMU integrated in the pair of smart glasses. Low-lying obstacles are detected by using another RGB-D sensor of RealSense, the RS410, as the waist-worn pathfinder to provide early warning. Indoor and outdoor detection results as well as a field test demonstrate the usefulness and effectiveness of our approach.\",\"PeriodicalId\":174382,\"journal\":{\"name\":\"Proceedings of the 1st International Conference on Information Science and Systems\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1st International Conference on Information Science and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3209914.3209943\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st International Conference on Information Science and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3209914.3209943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20

摘要

RGB-D传感器的应用为计算机视觉领域的研究提供了革命性的力量,而可穿越区域的检测和避障是辅助视障人士的基础课题。然而,RGB-D传感器的检测受到深度图稀疏和视场狭窄的限制,阻碍了较长的可穿越性感知和较低的障碍物通过。本文提出了一种有效的方法,将一副可穿戴智能眼镜和一种腰戴式探路者结合起来,帮助视障人士。通过RealSense R200 (RGB-D传感器)和集成在智能眼镜中的IMU对真实世界的坐标进行调整后,生成可穿越的线条,通过实时立体声反馈视障人士。使用RealSense的另一款RGB-D传感器RS410检测低洼障碍物,作为腰戴式探路者,提供早期预警。室内和室外的检测结果以及现场测试证明了我们的方法的实用性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Long-Range Traversability Awareness and Low-Lying Obstacle Negotiation with RealSense for the Visually Impaired
The application of RGB-D sensors provides a revolutionary force in the research field of computer vision, where traversable area detection and obstacle avoidance are the fundamental topics to aid visually impaired people. However, the detection using RGB-D sensors is limited by the sparse depth map and the narrow field of view, which hampers longer traversability awareness and lower obstacle negotiation. This paper proposes an effective approach to combine a pair of wearable smart glasses and a waist-worn pathfinder to assist the visually impaired. Traversable lines are generated to feedback the visually impaired through real-time stereo sound after real-world coordinates adjustment with a RealSense R200 (RGB-D sensor) and an IMU integrated in the pair of smart glasses. Low-lying obstacles are detected by using another RGB-D sensor of RealSense, the RS410, as the waist-worn pathfinder to provide early warning. Indoor and outdoor detection results as well as a field test demonstrate the usefulness and effectiveness of our approach.
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
期刊最新文献
Design and Implementation of Student Information Management System Based On Java Improving RealSense by Fusing Color Stereo Vision and Infrared Stereo Vision for the Visually Impaired Expert Recommendation Based on Collaborative Filtering in Subject Research An Approach for Information Discovery Using Ontology In Semantic Web Content Detecting Phone Theft Using Machine Learning
×
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