Method for Detecting Glass Wall with Lidar and Ultrasonic Sensor

Shukun Wu, Shigang Wang
{"title":"Method for Detecting Glass Wall with Lidar and Ultrasonic Sensor","authors":"Shukun Wu, Shigang Wang","doi":"10.1109/ECICE52819.2021.9645614","DOIUrl":null,"url":null,"abstract":"In modern architecture, the glass wall has become a widely used element. Two-dimensional lidar is one of many sensors used in robots, but it cannot directly identify the glass wall due to the light transmission characteristics of the laser- facing glass. The ultrasonic sensor can detect the presence of glass due to its working principle, but the general single-line ultrasonic sensor can only detect one point when detecting the glass wall. The detection method mentioned in this article combines two sensors by using image processing-related methods. After the experimental verification of various glass wall occasions, the combination of the two sensors can not only judge whether there is glass in the front, but also identify the position and size of the glass wall, and filter out the point cloud behind the glass in the lidar detection results. The data is thus formed into a whole point cloud data that does not contain the item information behind the glass wall. This paper explores the identification method of the glass wall, which has a lower cost and wider application range.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"285 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECICE52819.2021.9645614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In modern architecture, the glass wall has become a widely used element. Two-dimensional lidar is one of many sensors used in robots, but it cannot directly identify the glass wall due to the light transmission characteristics of the laser- facing glass. The ultrasonic sensor can detect the presence of glass due to its working principle, but the general single-line ultrasonic sensor can only detect one point when detecting the glass wall. The detection method mentioned in this article combines two sensors by using image processing-related methods. After the experimental verification of various glass wall occasions, the combination of the two sensors can not only judge whether there is glass in the front, but also identify the position and size of the glass wall, and filter out the point cloud behind the glass in the lidar detection results. The data is thus formed into a whole point cloud data that does not contain the item information behind the glass wall. This paper explores the identification method of the glass wall, which has a lower cost and wider application range.
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
用激光雷达和超声波传感器检测玻璃墙的方法
在现代建筑中,玻璃墙已成为一种广泛使用的元素。二维激光雷达是机器人中使用的众多传感器之一,但由于激光贴面玻璃的透光特性,它无法直接识别玻璃墙。超声波传感器由于其工作原理可以检测到玻璃的存在,但一般的单线超声波传感器在检测玻璃壁时只能检测到一点。本文所提到的检测方法是利用与图像处理相关的方法将两个传感器结合在一起。经过各种玻璃墙场合的实验验证,两个传感器的组合不仅可以判断前方是否有玻璃,还可以识别玻璃墙的位置和大小,并在激光雷达检测结果中过滤掉玻璃后面的点云。这样,数据就形成了一个完整的点云数据,其中不包含玻璃墙后面的项目信息。本文探索的玻璃墙的识别方法,成本更低,适用范围更广。
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
Experimental Demonstration of 128QAM-OFDM Encoded Terahertz Signals over 20-km SMF Evaluation of Learning Effectiveness Using Mobile Communication and Reality Technology to Assist Teaching: A Case of Island Ecological Teaching [ECICE 2021 Front matter] Application of Time-series Smoothed Excitation CNN Model Study on Humidity Status Fuzzy Estimation of Low-power PEMFC Stack Based on the Softsensing Technology
×
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