{"title":"基于相关极值原理的可视化SLAM算法","authors":"M. Mukhina","doi":"10.1109/MSNMC.2012.6475086","DOIUrl":null,"url":null,"abstract":"Visual information features for SLAM algorithm are considered. The problem of navigation for continuous observation of the ground surface is stated. The algorithm of correlation search and coordinates estimation is proposed based on Kalman filtering.","PeriodicalId":394899,"journal":{"name":"2012 2nd International Conference \"Methods and Systems of Navigation and Motion Control\" (MSNMC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visual SLAM algorithm using correlation extremal principle\",\"authors\":\"M. Mukhina\",\"doi\":\"10.1109/MSNMC.2012.6475086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Visual information features for SLAM algorithm are considered. The problem of navigation for continuous observation of the ground surface is stated. The algorithm of correlation search and coordinates estimation is proposed based on Kalman filtering.\",\"PeriodicalId\":394899,\"journal\":{\"name\":\"2012 2nd International Conference \\\"Methods and Systems of Navigation and Motion Control\\\" (MSNMC)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 2nd International Conference \\\"Methods and Systems of Navigation and Motion Control\\\" (MSNMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSNMC.2012.6475086\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 2nd International Conference \"Methods and Systems of Navigation and Motion Control\" (MSNMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSNMC.2012.6475086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visual SLAM algorithm using correlation extremal principle
Visual information features for SLAM algorithm are considered. The problem of navigation for continuous observation of the ground surface is stated. The algorithm of correlation search and coordinates estimation is proposed based on Kalman filtering.