{"title":"Fusion of Sensor Data for Source Localization using the Hough Transform","authors":"A. Mikhalev, R. Ormondroyd","doi":"10.1109/ICIF.2006.301686","DOIUrl":null,"url":null,"abstract":"This paper describes a novel source localization algorithm based on the Hough transform that allows different types of sensor data, such as angle of arrival and time difference of arrival data to be fused together by means of a transformation into a consistent parameterized space. A particular advantage of this method is that terrain data can also be fused with the various types of sensor data to aid accurate source localization","PeriodicalId":248061,"journal":{"name":"2006 9th International Conference on Information Fusion","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 9th International Conference on Information Fusion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIF.2006.301686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This paper describes a novel source localization algorithm based on the Hough transform that allows different types of sensor data, such as angle of arrival and time difference of arrival data to be fused together by means of a transformation into a consistent parameterized space. A particular advantage of this method is that terrain data can also be fused with the various types of sensor data to aid accurate source localization
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