{"title":"利用半径改进机器人定位和绘图","authors":"Boutine Rachid, Pr. Benmohamed Mohamed","doi":"10.1109/ICMWI.2010.5647947","DOIUrl":null,"url":null,"abstract":"In this work, we have tried to integrate the radius estimation, in the process of simultaneous localization and mapping. Our aim was the improvement of data association between circular natural landmark, and robot's global map. And also, to demonstrate that, more we extract additional information from measurement, more the landmarks will be distinguishable; consequently, contributing to better locating the robot, and building the map of its environment.","PeriodicalId":404577,"journal":{"name":"2010 International Conference on Machine and Web Intelligence","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using radius to improve robot localization and mapping\",\"authors\":\"Boutine Rachid, Pr. Benmohamed Mohamed\",\"doi\":\"10.1109/ICMWI.2010.5647947\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we have tried to integrate the radius estimation, in the process of simultaneous localization and mapping. Our aim was the improvement of data association between circular natural landmark, and robot's global map. And also, to demonstrate that, more we extract additional information from measurement, more the landmarks will be distinguishable; consequently, contributing to better locating the robot, and building the map of its environment.\",\"PeriodicalId\":404577,\"journal\":{\"name\":\"2010 International Conference on Machine and Web Intelligence\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Machine and Web Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMWI.2010.5647947\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Machine and Web Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMWI.2010.5647947","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using radius to improve robot localization and mapping
In this work, we have tried to integrate the radius estimation, in the process of simultaneous localization and mapping. Our aim was the improvement of data association between circular natural landmark, and robot's global map. And also, to demonstrate that, more we extract additional information from measurement, more the landmarks will be distinguishable; consequently, contributing to better locating the robot, and building the map of its environment.
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