{"title":"Multi-sensor Data Acquisition for an Autonomous Mobile Outdoor Robot","authors":"Miaolei Zhou, Wei Gao","doi":"10.1109/ISCID.2011.190","DOIUrl":null,"url":null,"abstract":"Multi-sensors system is designed for realizing autonomous mobile of outdoor robot. GPS, two laser range finders, encode, electronics compass and camera are used to obtain the feeling information for outdoor autonomous mobile robot. Based on multithread technology, the data acquisition program of outdoor autonomous mobile robot is developed. This method can improve data synchronism and real time from sensors. The data acquisition methods of every sensor are introduced. The key technology of realization method is given. The experimental results show that multisensory data acquisition method is effective.","PeriodicalId":224504,"journal":{"name":"2011 Fourth International Symposium on Computational Intelligence and Design","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2011.190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Multi-sensors system is designed for realizing autonomous mobile of outdoor robot. GPS, two laser range finders, encode, electronics compass and camera are used to obtain the feeling information for outdoor autonomous mobile robot. Based on multithread technology, the data acquisition program of outdoor autonomous mobile robot is developed. This method can improve data synchronism and real time from sensors. The data acquisition methods of every sensor are introduced. The key technology of realization method is given. The experimental results show that multisensory data acquisition method is effective.
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