{"title":"基于软传感器的移动机器人定位","authors":"Xiao Li, Dan Wang, Yancheng Liu, Zhouhua Peng","doi":"10.1109/CACRE50138.2020.9229997","DOIUrl":null,"url":null,"abstract":"This paper presents a new approach to fuse information in special form. To determine the position and heading of mobile robot, the information from fixation vision geometric constraint must be exploited. However, geometric constraint is not measurement data from sensor, cannot be fused directly. Therefore the concept of “soft sensor” is adopted. Its application to mobile robot localization is shown with simulation in this paper.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mobile Robot Localization Using Soft Sensor\",\"authors\":\"Xiao Li, Dan Wang, Yancheng Liu, Zhouhua Peng\",\"doi\":\"10.1109/CACRE50138.2020.9229997\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new approach to fuse information in special form. To determine the position and heading of mobile robot, the information from fixation vision geometric constraint must be exploited. However, geometric constraint is not measurement data from sensor, cannot be fused directly. Therefore the concept of “soft sensor” is adopted. Its application to mobile robot localization is shown with simulation in this paper.\",\"PeriodicalId\":325195,\"journal\":{\"name\":\"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CACRE50138.2020.9229997\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CACRE50138.2020.9229997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a new approach to fuse information in special form. To determine the position and heading of mobile robot, the information from fixation vision geometric constraint must be exploited. However, geometric constraint is not measurement data from sensor, cannot be fused directly. Therefore the concept of “soft sensor” is adopted. Its application to mobile robot localization is shown with simulation in this paper.