Brian Olszewski, Steven Fenton, Brian Tworek, Jiao Liang, K. Yelamarthi
{"title":"RFID positioning robot: An indoor navigation system","authors":"Brian Olszewski, Steven Fenton, Brian Tworek, Jiao Liang, K. Yelamarthi","doi":"10.1109/EIT.2013.6632687","DOIUrl":null,"url":null,"abstract":"This paper describes a system to improve indoor navigation through use of radio frequency identification (RFID) technology. The terminal unit is an embedded system equipped with an RFID reader for localization, a mobile robot for navigation, and a combination of ultrasonic and IR sensors for obstacle detection and avoidance during navigation. To increase accuracy of an indoor guidance system, a triangulation method is proposed to accurately detect the location. While the proposed method can be verified by many methods, the accuracy is demonstrated through use of a mobile robot. It navigates to a designated location through continuously monitoring all RFID tags in the vicinity, localizing itself, and calculating the path to the destination.","PeriodicalId":201202,"journal":{"name":"IEEE International Conference on Electro-Information Technology , EIT 2013","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Electro-Information Technology , EIT 2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIT.2013.6632687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31
Abstract
This paper describes a system to improve indoor navigation through use of radio frequency identification (RFID) technology. The terminal unit is an embedded system equipped with an RFID reader for localization, a mobile robot for navigation, and a combination of ultrasonic and IR sensors for obstacle detection and avoidance during navigation. To increase accuracy of an indoor guidance system, a triangulation method is proposed to accurately detect the location. While the proposed method can be verified by many methods, the accuracy is demonstrated through use of a mobile robot. It navigates to a designated location through continuously monitoring all RFID tags in the vicinity, localizing itself, and calculating the path to the destination.