{"title":"Filtering based sensor fusion positioning methods: literature review","authors":"Michael Peiris, Moustafa El Gindy, Haoxiang Lang","doi":"10.1504/ijvsmt.2023.10060012","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":35145,"journal":{"name":"International Journal of Vehicle Systems Modelling and Testing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Vehicle Systems Modelling and Testing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijvsmt.2023.10060012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
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IJVSMT provides a resource of information for the scientific and engineering community working with ground vehicles. Emphases are placed on novel computational and testing techniques that are used by automotive engineers and scientists.
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