{"title":"传感器融合的机器学习技术实验","authors":"Katti Faceli, A.C.P.L.F. de Carvalho, S. Rezende","doi":"10.1109/ICCIMA.2001.970502","DOIUrl":null,"url":null,"abstract":"Mobile robots rely on sensor data to have a representation of their environment. However the sensors usually provide incomplete, inconsistent or inaccurate information. Sensor fusion has been successfully employed to enhance the accuracy of sensor measures. This article proposes and investigates the use of artificial intelligence techniques for sensor fusion to improve the accuracy and reliability of a distance between a robot and an object in its work environment.","PeriodicalId":232504,"journal":{"name":"Proceedings Fourth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2001","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Experiments on machine learning techniques for sensor fusion\",\"authors\":\"Katti Faceli, A.C.P.L.F. de Carvalho, S. Rezende\",\"doi\":\"10.1109/ICCIMA.2001.970502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile robots rely on sensor data to have a representation of their environment. However the sensors usually provide incomplete, inconsistent or inaccurate information. Sensor fusion has been successfully employed to enhance the accuracy of sensor measures. This article proposes and investigates the use of artificial intelligence techniques for sensor fusion to improve the accuracy and reliability of a distance between a robot and an object in its work environment.\",\"PeriodicalId\":232504,\"journal\":{\"name\":\"Proceedings Fourth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2001\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Fourth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2001\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIMA.2001.970502\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Fourth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIMA.2001.970502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Experiments on machine learning techniques for sensor fusion
Mobile robots rely on sensor data to have a representation of their environment. However the sensors usually provide incomplete, inconsistent or inaccurate information. Sensor fusion has been successfully employed to enhance the accuracy of sensor measures. This article proposes and investigates the use of artificial intelligence techniques for sensor fusion to improve the accuracy and reliability of a distance between a robot and an object in its work environment.
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