{"title":"综合视觉辅助导航系统","authors":"Alexander Artyshenko, Mykola Kamaev","doi":"10.1109/MSNMC.2014.6979744","DOIUrl":null,"url":null,"abstract":"A development of unmanned aerial vehicle navigation systems is a bleeding edge topic for engineers. Optimal realizations are always a balance between different factors. Location discovering is based on usage of integrated navigation system. Raw data are precalculated by correlation-extremal navigation systems.","PeriodicalId":360002,"journal":{"name":"2014 IEEE 3rd International Conference on Methods and Systems of Navigation and Motion Control (MSNMC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrated visual-aided navigation system\",\"authors\":\"Alexander Artyshenko, Mykola Kamaev\",\"doi\":\"10.1109/MSNMC.2014.6979744\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A development of unmanned aerial vehicle navigation systems is a bleeding edge topic for engineers. Optimal realizations are always a balance between different factors. Location discovering is based on usage of integrated navigation system. Raw data are precalculated by correlation-extremal navigation systems.\",\"PeriodicalId\":360002,\"journal\":{\"name\":\"2014 IEEE 3rd International Conference on Methods and Systems of Navigation and Motion Control (MSNMC)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 3rd International Conference on Methods and Systems of Navigation and Motion Control (MSNMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSNMC.2014.6979744\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 3rd International Conference on Methods and Systems of Navigation and Motion Control (MSNMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSNMC.2014.6979744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A development of unmanned aerial vehicle navigation systems is a bleeding edge topic for engineers. Optimal realizations are always a balance between different factors. Location discovering is based on usage of integrated navigation system. Raw data are precalculated by correlation-extremal navigation systems.