{"title":"Genetically optimized ANFIS based Intelligent Navigation System","authors":"M. Malleswaran, V. Vaidehi, R. A. Joseph","doi":"10.1109/ICOAC.2011.6165207","DOIUrl":null,"url":null,"abstract":"Global positioning System (GPS) and Inertial Navigation System (INS) data can be integrated together to provide a reliable navigation. This paper presents an approach of solving GPS/INS data integration problem, without the need of modeling the characteristics of GPS and INS sensors. This approach uses Genetically optimized Adaptive Neuro-Fuzzy Inference System (GANFIS) as an alternative to the conventional Kalman filter approach in which it is mandatory to model the entire system.","PeriodicalId":369712,"journal":{"name":"2011 Third International Conference on Advanced Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Third International Conference on Advanced Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOAC.2011.6165207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Global positioning System (GPS) and Inertial Navigation System (INS) data can be integrated together to provide a reliable navigation. This paper presents an approach of solving GPS/INS data integration problem, without the need of modeling the characteristics of GPS and INS sensors. This approach uses Genetically optimized Adaptive Neuro-Fuzzy Inference System (GANFIS) as an alternative to the conventional Kalman filter approach in which it is mandatory to model the entire system.
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