{"title":"Application of UAV Precise Navigation in Environmental Safety Monitoring and Detection","authors":"Chen Nan, Song Zhi-Li","doi":"10.1109/ICIIBMS.2018.8550029","DOIUrl":null,"url":null,"abstract":"Aiming at how to accurately position the UAV in the environmental safety monitoring, a new positioning and navigation method is proposed in this paper. This method can make good use of the regional landmark features to realize the precise positioning and navigation of the UAV. The method can comprehensively utilize the point feature of the image and the image contour feature to perform image matching, and overcomes the deficiencies of the unilateral only through the contour feature or the point feature matching, thereby forming a new landmark feature registration method. Experiments show that the method has certain robustness and stability, and it is improved in efficiency and accuracy when applied to environmental safety monitoring and detection.","PeriodicalId":430326,"journal":{"name":"2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIIBMS.2018.8550029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aiming at how to accurately position the UAV in the environmental safety monitoring, a new positioning and navigation method is proposed in this paper. This method can make good use of the regional landmark features to realize the precise positioning and navigation of the UAV. The method can comprehensively utilize the point feature of the image and the image contour feature to perform image matching, and overcomes the deficiencies of the unilateral only through the contour feature or the point feature matching, thereby forming a new landmark feature registration method. Experiments show that the method has certain robustness and stability, and it is improved in efficiency and accuracy when applied to environmental safety monitoring and detection.