Robust and low-cost proximity sensor for line detection robot using goertzel algorithm

Rayi Yanu Tara, Teguh Barata Adji
{"title":"Robust and low-cost proximity sensor for line detection robot using goertzel algorithm","authors":"Rayi Yanu Tara, Teguh Barata Adji","doi":"10.1109/ICA.2011.6130183","DOIUrl":null,"url":null,"abstract":"The usage of proximity sensor for marker detections such as color line detection is the easiest technique in robotic competition. Most of the contestants use simple photo-reflective circuit as proximity sensor with constant light source and voltage-based threshold to deduce the presence of marker line. By using this technique, noises such as various changes in indoor lighting exposure and camera flash may cause negative effect against system performance. To overcome this situation, a proximity sensor model is presented utilizing photo-reflective circuit with modulated light source. Goertzel algorithm is then used to calculate the power spectrum value of the received signal from photo-reflective circuit. The presence of marker line is deduced by simple thresholding technique based on the previous calibrated power spectrum value. Using this model, marker line detection method based on proximity sensor becomes more robust against noises and disturbances.","PeriodicalId":132474,"journal":{"name":"2011 2nd International Conference on Instrumentation Control and Automation","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 2nd International Conference on Instrumentation Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICA.2011.6130183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The usage of proximity sensor for marker detections such as color line detection is the easiest technique in robotic competition. Most of the contestants use simple photo-reflective circuit as proximity sensor with constant light source and voltage-based threshold to deduce the presence of marker line. By using this technique, noises such as various changes in indoor lighting exposure and camera flash may cause negative effect against system performance. To overcome this situation, a proximity sensor model is presented utilizing photo-reflective circuit with modulated light source. Goertzel algorithm is then used to calculate the power spectrum value of the received signal from photo-reflective circuit. The presence of marker line is deduced by simple thresholding technique based on the previous calibrated power spectrum value. Using this model, marker line detection method based on proximity sensor becomes more robust against noises and disturbances.
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
基于goertzel算法的线检测机器人鲁棒低成本接近传感器
使用接近传感器进行标记检测,如颜色线检测,是机器人比赛中最简单的技术。大多数参赛者使用简单的光反射电路作为接近传感器,具有恒定的光源和基于电压的阈值来推断标记线的存在。通过使用这种技术,诸如室内照明曝光和相机闪光灯的各种变化等噪音可能会对系统性能产生负面影响。为了克服这种情况,提出了一种利用光反射电路调制光源的接近传感器模型。然后用Goertzel算法计算光反射电路接收信号的功率谱值。基于先前标定的功率谱值,采用简单的阈值法推导出标记线的存在。利用该模型,基于接近传感器的标记线检测方法对噪声和干扰具有更强的鲁棒性。
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
Optimization of partial slip surface at lubricated-MEMS Safety analysis of linear system with SOS for complex eigenvalues Determination of flight attitude using kalman filter for an agricultural unmanned helicopter Dynamic uav path planning for moving target intercept in 3D Accuracy evaluation of delivered measurements to HMI in a real SCADA automation system
×
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