J. Tardif, M. George, Michel Laverne, A. Kelly, A. Stentz
{"title":"电力线检测用视觉辅助惯性导航","authors":"J. Tardif, M. George, Michel Laverne, A. Kelly, A. Stentz","doi":"10.1109/CARPI.2010.5624435","DOIUrl":null,"url":null,"abstract":"We present a stereo vision-aided inertial navigation system and demonstrate its potential in power line inspection at close range using an unmaned aerial vehicle. This is made possible by recent developments in visual odometry and a newly proposed algorithm for the loose coupling of an inertial measurement unit and visual odometry. Our experiments show promising results.","PeriodicalId":374619,"journal":{"name":"2010 1st International Conference on Applied Robotics for the Power Industry","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Vision-aided inertial navigation for power line inspection\",\"authors\":\"J. Tardif, M. George, Michel Laverne, A. Kelly, A. Stentz\",\"doi\":\"10.1109/CARPI.2010.5624435\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a stereo vision-aided inertial navigation system and demonstrate its potential in power line inspection at close range using an unmaned aerial vehicle. This is made possible by recent developments in visual odometry and a newly proposed algorithm for the loose coupling of an inertial measurement unit and visual odometry. Our experiments show promising results.\",\"PeriodicalId\":374619,\"journal\":{\"name\":\"2010 1st International Conference on Applied Robotics for the Power Industry\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 1st International Conference on Applied Robotics for the Power Industry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CARPI.2010.5624435\",\"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 1st International Conference on Applied Robotics for the Power Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CARPI.2010.5624435","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vision-aided inertial navigation for power line inspection
We present a stereo vision-aided inertial navigation system and demonstrate its potential in power line inspection at close range using an unmaned aerial vehicle. This is made possible by recent developments in visual odometry and a newly proposed algorithm for the loose coupling of an inertial measurement unit and visual odometry. Our experiments show promising results.