J. Pérez-Lorenzo, Ricardo Vázquez Martín, Pedro Núñez Trujillo, E. Pérez, F. Hernández
{"title":"一种基于hough的室内环境并发映射与定位方法","authors":"J. Pérez-Lorenzo, Ricardo Vázquez Martín, Pedro Núñez Trujillo, E. Pérez, F. Hernández","doi":"10.1109/RAMECH.2004.1438027","DOIUrl":null,"url":null,"abstract":"This paper proposes a method to solve the simultaneous localization and map building problem based on segments extracted from local sonar based occupation maps. These segments are categorized as new obstacle boundaries of a simultaneously built global segment-based map or as prolongations of previously extracted boundaries. The method is adequate for indoor office-like environments, specially for those environments that can be suitable modelled by a set of segments. The method has been proved in several experiments in the same indoor environment with successful results.","PeriodicalId":252964,"journal":{"name":"IEEE Conference on Robotics, Automation and Mechatronics, 2004.","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"A Hough-based method for concurrent mapping and localization in indoor environments\",\"authors\":\"J. Pérez-Lorenzo, Ricardo Vázquez Martín, Pedro Núñez Trujillo, E. Pérez, F. Hernández\",\"doi\":\"10.1109/RAMECH.2004.1438027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a method to solve the simultaneous localization and map building problem based on segments extracted from local sonar based occupation maps. These segments are categorized as new obstacle boundaries of a simultaneously built global segment-based map or as prolongations of previously extracted boundaries. The method is adequate for indoor office-like environments, specially for those environments that can be suitable modelled by a set of segments. The method has been proved in several experiments in the same indoor environment with successful results.\",\"PeriodicalId\":252964,\"journal\":{\"name\":\"IEEE Conference on Robotics, Automation and Mechatronics, 2004.\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Conference on Robotics, Automation and Mechatronics, 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAMECH.2004.1438027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Conference on Robotics, Automation and Mechatronics, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMECH.2004.1438027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Hough-based method for concurrent mapping and localization in indoor environments
This paper proposes a method to solve the simultaneous localization and map building problem based on segments extracted from local sonar based occupation maps. These segments are categorized as new obstacle boundaries of a simultaneously built global segment-based map or as prolongations of previously extracted boundaries. The method is adequate for indoor office-like environments, specially for those environments that can be suitable modelled by a set of segments. The method has been proved in several experiments in the same indoor environment with successful results.