N. Miyake, T. Aono, K. Fujii, Yuji Matsuda, S. Hatsumoto
{"title":"Position estimation and path control of an autonomous land vehicle","authors":"N. Miyake, T. Aono, K. Fujii, Yuji Matsuda, S. Hatsumoto","doi":"10.1109/IROS.1997.655086","DOIUrl":null,"url":null,"abstract":"A method for estimating the vehicle position by using a fiber optic gyroscope and wheel rotation encoders, as wall as a method for controlling the vehicle path using a path attracting force model, has been proposed. A method for improving the estimation accuracy by using the Global Positioning System (GPS), along with the above sensors, has also been proposed. An autonomous mobile robot is developed bases on a manually driven lawn-mower, and the performance of the proposed methods has been studied experimentally. The experimental results show the effectiveness of the proposed methods, and practicality as an autonomous lawn-mower has been confirmed.","PeriodicalId":408848,"journal":{"name":"Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS.1997.655086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
A method for estimating the vehicle position by using a fiber optic gyroscope and wheel rotation encoders, as wall as a method for controlling the vehicle path using a path attracting force model, has been proposed. A method for improving the estimation accuracy by using the Global Positioning System (GPS), along with the above sensors, has also been proposed. An autonomous mobile robot is developed bases on a manually driven lawn-mower, and the performance of the proposed methods has been studied experimentally. The experimental results show the effectiveness of the proposed methods, and practicality as an autonomous lawn-mower has been confirmed.