一种基于相机和惯性测量单元的低成本智能定位系统

EUSFLAT Conf. Pub Date : 2011-08-06 DOI:10.2991/eusflat.2011.2

O. Casanova, G. N. Marichal, J. González-Mora, Ángela Hernández

{"title":"一种基于相机和惯性测量单元的低成本智能定位系统","authors":"O. Casanova, G. N. Marichal, J. González-Mora, Ángela Hernández","doi":"10.2991/eusflat.2011.2","DOIUrl":null,"url":null,"abstract":"This paper presents an alternative sensor fusion application in order to improve the accuracy on systems that use strapdown type inertial navigation. A neuro-fuzzy approach is shown, where the information captured by a camera is fused with the values obtained from a low cost inertial measurement unit. Several experimental trials have been conducted with real data, where satisfactory results have been achieved.","PeriodicalId":403191,"journal":{"name":"EUSFLAT Conf.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A low cost intelligent localization system based on a camera and an inertial measurement unit (IMU)\",\"authors\":\"O. Casanova, G. N. Marichal, J. González-Mora, Ángela Hernández\",\"doi\":\"10.2991/eusflat.2011.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an alternative sensor fusion application in order to improve the accuracy on systems that use strapdown type inertial navigation. A neuro-fuzzy approach is shown, where the information captured by a camera is fused with the values obtained from a low cost inertial measurement unit. Several experimental trials have been conducted with real data, where satisfactory results have been achieved.\",\"PeriodicalId\":403191,\"journal\":{\"name\":\"EUSFLAT Conf.\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EUSFLAT Conf.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/eusflat.2011.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EUSFLAT Conf.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/eusflat.2011.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

为了提高捷联惯导系统的精度，本文提出了一种传感器融合的替代方法。给出了一种神经模糊方法，其中由相机捕获的信息与从低成本惯性测量单元获得的值融合。用实际数据进行了几次试验，取得了令人满意的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A low cost intelligent localization system based on a camera and an inertial measurement unit (IMU)

This paper presents an alternative sensor fusion application in order to improve the accuracy on systems that use strapdown type inertial navigation. A neuro-fuzzy approach is shown, where the information captured by a camera is fused with the values obtained from a low cost inertial measurement unit. Several experimental trials have been conducted with real data, where satisfactory results have been achieved.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

EUSFLAT Conf.

自引率

0.00%

发文量