Mohammad Hossein Bamorovat Abadi, M. A. Oskoei, A. Fakharian
{"title":"移动机器人导航采用声纳视觉算法,应用于全向视觉","authors":"Mohammad Hossein Bamorovat Abadi, M. A. Oskoei, A. Fakharian","doi":"10.1109/RIOS.2015.7270728","DOIUrl":null,"url":null,"abstract":"This paper presents a sonar vision algorithm applied to omnidirectional vision. It provides autonomous navigation for a mobile robot in an unknown environment. It uses omnidirectional images without any prior calibration and detects static and dynamic obstacles. It estimates the most intended path based on visual sonar beams in front of the robot. The proposed method was tested on a mobile robot in indoor environment. The experimental results show acceptable performance considering computation costs.","PeriodicalId":437944,"journal":{"name":"2015 AI & Robotics (IRANOPEN)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Mobile robot navigation using sonar vision algorithm applied to omnidirectional vision\",\"authors\":\"Mohammad Hossein Bamorovat Abadi, M. A. Oskoei, A. Fakharian\",\"doi\":\"10.1109/RIOS.2015.7270728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a sonar vision algorithm applied to omnidirectional vision. It provides autonomous navigation for a mobile robot in an unknown environment. It uses omnidirectional images without any prior calibration and detects static and dynamic obstacles. It estimates the most intended path based on visual sonar beams in front of the robot. The proposed method was tested on a mobile robot in indoor environment. The experimental results show acceptable performance considering computation costs.\",\"PeriodicalId\":437944,\"journal\":{\"name\":\"2015 AI & Robotics (IRANOPEN)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 AI & Robotics (IRANOPEN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RIOS.2015.7270728\",\"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 AI & Robotics (IRANOPEN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIOS.2015.7270728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobile robot navigation using sonar vision algorithm applied to omnidirectional vision
This paper presents a sonar vision algorithm applied to omnidirectional vision. It provides autonomous navigation for a mobile robot in an unknown environment. It uses omnidirectional images without any prior calibration and detects static and dynamic obstacles. It estimates the most intended path based on visual sonar beams in front of the robot. The proposed method was tested on a mobile robot in indoor environment. The experimental results show acceptable performance considering computation costs.