{"title":"Natural landmark based localisation of mobile robots using laser range data","authors":"M. Ribeiro, J. Gonçalves","doi":"10.1109/EURBOT.1996.552019","DOIUrl":null,"url":null,"abstract":"This paper presents a localisation procedure for a mobile robot operating in a structured environment whose map is totally or partially known a priori. The proposed approach is based on the recognition of natural landmarks identified through laser range data. With a rough estimate of the robot's position and orientation and the knowledge of an a priori map, the proposed technique chooses two vertical edges toward which, and using correctly chosen scanning parameters, a laser scan is directed. The post-processing of the so acquired range profile results in an updated estimate of the robot's location. The paper describes the different steps of the localisation technique, derives a criterion for the optimal choice of the pair of vertical edges, discusses relevant experimental results and presents directions for further research.","PeriodicalId":136786,"journal":{"name":"Proceedings of the First Euromicro Workshop on Advanced Mobile Robots (EUROBOT '96)","volume":"516 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the First Euromicro Workshop on Advanced Mobile Robots (EUROBOT '96)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EURBOT.1996.552019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
This paper presents a localisation procedure for a mobile robot operating in a structured environment whose map is totally or partially known a priori. The proposed approach is based on the recognition of natural landmarks identified through laser range data. With a rough estimate of the robot's position and orientation and the knowledge of an a priori map, the proposed technique chooses two vertical edges toward which, and using correctly chosen scanning parameters, a laser scan is directed. The post-processing of the so acquired range profile results in an updated estimate of the robot's location. The paper describes the different steps of the localisation technique, derives a criterion for the optimal choice of the pair of vertical edges, discusses relevant experimental results and presents directions for further research.