Z. Irki, Abdelatif Oussar, Mohamed Hamdi, Fatah Seddi
{"title":"基于模糊uv视差的leader移动机器人跟踪方法","authors":"Z. Irki, Abdelatif Oussar, Mohamed Hamdi, Fatah Seddi","doi":"10.1109/ICAR.2015.7251451","DOIUrl":null,"url":null,"abstract":"Following a leader is a very important task in the autonomous robot navigation. In order to follow a leader, the follower has to detect the leader, to localize it and to estimate its properties. Several techniques have been used to carry out this task; in particular vision based approaches can be used. In this paper, we describe a stereovision based approach for following a leader. The main idea of this paper assumes that the leader is considered as an obstacle. So, the V-disparity obstacles detection approach is combined with the U-disparity based localization and a fuzzy controller in order to execute all the steps of the leader following task. The described approach was successfully implemented on a Pionneer3AT robot.","PeriodicalId":432004,"journal":{"name":"2015 International Conference on Advanced Robotics (ICAR)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A fuzzy UV-disparity based approach for following a leader mobile robot\",\"authors\":\"Z. Irki, Abdelatif Oussar, Mohamed Hamdi, Fatah Seddi\",\"doi\":\"10.1109/ICAR.2015.7251451\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Following a leader is a very important task in the autonomous robot navigation. In order to follow a leader, the follower has to detect the leader, to localize it and to estimate its properties. Several techniques have been used to carry out this task; in particular vision based approaches can be used. In this paper, we describe a stereovision based approach for following a leader. The main idea of this paper assumes that the leader is considered as an obstacle. So, the V-disparity obstacles detection approach is combined with the U-disparity based localization and a fuzzy controller in order to execute all the steps of the leader following task. The described approach was successfully implemented on a Pionneer3AT robot.\",\"PeriodicalId\":432004,\"journal\":{\"name\":\"2015 International Conference on Advanced Robotics (ICAR)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Advanced Robotics (ICAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAR.2015.7251451\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Advanced Robotics (ICAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAR.2015.7251451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fuzzy UV-disparity based approach for following a leader mobile robot
Following a leader is a very important task in the autonomous robot navigation. In order to follow a leader, the follower has to detect the leader, to localize it and to estimate its properties. Several techniques have been used to carry out this task; in particular vision based approaches can be used. In this paper, we describe a stereovision based approach for following a leader. The main idea of this paper assumes that the leader is considered as an obstacle. So, the V-disparity obstacles detection approach is combined with the U-disparity based localization and a fuzzy controller in order to execute all the steps of the leader following task. The described approach was successfully implemented on a Pionneer3AT robot.