MEMS-INS Based Indoor Pedestrian Localization Using Three-Dimensional Map Matching Algorithm - 文章详情页

作者：

Ren, Ming-Rong (Ren, Ming-Rong.) | Meng, Juan (Meng, Juan.) | Wang, Pu (Wang, Pu.)

收录：

EI CSCD

摘要：

Improving　micro-electro-mechanical　inertial　navigation　system　based　indoor　pedestrian　localization　is　a　hot　and　hard　topic　these　days.It　is　because　random　errors　of　MEMS　gyroscopes　and　accelerators　are　very　complicated,and　very　difficult　to　model　using　norm　techniques.In　this　paper,a　map　matching　method　based　on　conditional　random　fields　and　indoor　3D　map　is　proposed.The　algorithm　is　designed　by　establishing　the　mathematical　relationship　between　the　inertial　position　and　the　interior　points　of　indoor　map,and　the　optimal　trajectory　algorithm　is　used　to　get　the　estimated　locations.The　position　errors　of　inertial　navigation　are　corrected　according　to　the　matching　points　solved　by　the　algorithm.　©　2021,　Chinese　Institute　of　Electronics.　All　right　reserved.

关键词：

Air navigation Indoor positioning systems Inertial navigation systems Navigation Random errors Three dimensional computer graphics

作者机构：

[ 1 ] [Ren, Ming-Rong]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 2 ] [Ren, Ming-Rong]Engineering Research Center of Digital Community, Beijing University of Technology, Beijing; 100124, China
[ 3 ] [Ren, Ming-Rong]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
[ 4 ] [Meng, Juan]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 5 ] [Meng, Juan]Engineering Research Center of Digital Community, Beijing University of Technology, Beijing; 100124, China
[ 6 ] [Meng, Juan]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
[ 7 ] [Wang, Pu]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
[ 8 ] [Wang, Pu]Engineering Research Center of Digital Community, Beijing University of Technology, Beijing; 100124, China

通讯作者信息：

[ren, ming-rong]beijing key laboratory of computational intelligence and intelligent system, beijing university of technology, beijing; 100124, china;;[ren, ming-rong]faculty of information technology, beijing university of technology, beijing; 100124, china;;[ren, ming-rong]engineering research center of digital community, beijing university of technology, beijing; 100124, china

电子邮件地址：

bjut_renmingrong@sohu.com

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