{"title":"基于传感器融合的移动机器人定位","authors":"Harshita Agarwal, Pankaj Tiwari, R. Tiwari","doi":"10.1109/I-SMAC47947.2019.9032653","DOIUrl":null,"url":null,"abstract":"When we attempt to trace a mobile robot relative to its surroundings, this phenomenon is delineated as Robot localization. Localization is regarded as most significant task for an independent robot on the basis of knowledge of the robot's location, decisions about future actions can be derived. In this paper we propose an approach to determine accurate position of mobile robotic devices by integrating data received from different kind of sensors. We use data from accelerometers, gyroscopes and low-cost encoders to get information about robot traffic.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Exploiting Sensor Fusion for Mobile Robot Localization\",\"authors\":\"Harshita Agarwal, Pankaj Tiwari, R. Tiwari\",\"doi\":\"10.1109/I-SMAC47947.2019.9032653\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When we attempt to trace a mobile robot relative to its surroundings, this phenomenon is delineated as Robot localization. Localization is regarded as most significant task for an independent robot on the basis of knowledge of the robot's location, decisions about future actions can be derived. In this paper we propose an approach to determine accurate position of mobile robotic devices by integrating data received from different kind of sensors. We use data from accelerometers, gyroscopes and low-cost encoders to get information about robot traffic.\",\"PeriodicalId\":275791,\"journal\":{\"name\":\"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I-SMAC47947.2019.9032653\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I-SMAC47947.2019.9032653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploiting Sensor Fusion for Mobile Robot Localization
When we attempt to trace a mobile robot relative to its surroundings, this phenomenon is delineated as Robot localization. Localization is regarded as most significant task for an independent robot on the basis of knowledge of the robot's location, decisions about future actions can be derived. In this paper we propose an approach to determine accurate position of mobile robotic devices by integrating data received from different kind of sensors. We use data from accelerometers, gyroscopes and low-cost encoders to get information about robot traffic.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
