{"title":"用于确定飞机位置的惯性测量单元和照相机的组合","authors":"N. Vinh","doi":"10.11648/J.SJAMS.20170502.13","DOIUrl":null,"url":null,"abstract":"In this article we propose a method of using the extended Kalman filter combined with an inertial navigation system and a camera to assist in determining the location and calculate the parameters of a helicopter. These observations are combined with an inertial measurement instrument which uses the Kalman filter to collect accurately and promptly information about the location of a plane. The algorithms is simulated on Simulink and hardened by using dsPIC33F256 chip.","PeriodicalId":422938,"journal":{"name":"Science Journal of Applied Mathematics and Statistics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane\",\"authors\":\"N. Vinh\",\"doi\":\"10.11648/J.SJAMS.20170502.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article we propose a method of using the extended Kalman filter combined with an inertial navigation system and a camera to assist in determining the location and calculate the parameters of a helicopter. These observations are combined with an inertial measurement instrument which uses the Kalman filter to collect accurately and promptly information about the location of a plane. The algorithms is simulated on Simulink and hardened by using dsPIC33F256 chip.\",\"PeriodicalId\":422938,\"journal\":{\"name\":\"Science Journal of Applied Mathematics and Statistics\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science Journal of Applied Mathematics and Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11648/J.SJAMS.20170502.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Journal of Applied Mathematics and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/J.SJAMS.20170502.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane
In this article we propose a method of using the extended Kalman filter combined with an inertial navigation system and a camera to assist in determining the location and calculate the parameters of a helicopter. These observations are combined with an inertial measurement instrument which uses the Kalman filter to collect accurately and promptly information about the location of a plane. The algorithms is simulated on Simulink and hardened by using dsPIC33F256 chip.
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