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基于先驗特征的礦下人員定位校準(zhǔn)方法

袁亞洲 孫小芹 李岳峰 關(guān)新平

袁亞洲, 孫小芹, 李岳峰, 關(guān)新平. 基于先驗特征的礦下人員定位校準(zhǔn)方法[J]. 電子與信息學(xué)報, 2018, 40(6): 1323-1329. doi: 10.11999/JEIT170749
引用本文: 袁亞洲, 孫小芹, 李岳峰, 關(guān)新平. 基于先驗特征的礦下人員定位校準(zhǔn)方法[J]. 電子與信息學(xué)報, 2018, 40(6): 1323-1329. doi: 10.11999/JEIT170749
YUAN Yazhou, SUN Xiaoqin, LI Yuefeng, GUAN Xinping. Positioning and Calibration Method of Underground Personnel Based on Priori Features[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1323-1329. doi: 10.11999/JEIT170749
Citation: YUAN Yazhou, SUN Xiaoqin, LI Yuefeng, GUAN Xinping. Positioning and Calibration Method of Underground Personnel Based on Priori Features[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1323-1329. doi: 10.11999/JEIT170749

基于先驗特征的礦下人員定位校準(zhǔn)方法

doi: 10.11999/JEIT170749
基金項目: 

河北省自然科學(xué)基金(F2017203084),河北省博士后優(yōu)先資助項目(B2017003009)

Positioning and Calibration Method of Underground Personnel Based on Priori Features

Funds: 

The Natural Science Foundation of Hebei Province (F2017203084), The Postdoctoral Priority Funding of Hebei Province (B2017003009)

  • 摘要: 針對目前人員定位方法普遍存在易受環(huán)境影響,累計誤差大等問題,該文提出一種利用地圖先驗知識與井下人員行進(jìn)方向識別相結(jié)合的位置校正方法。該方法首先通過線性判別分析(LDA)降低傳感器特征集的維度,之后利用隨機森林(RF)與設(shè)置閾值的方法對井下人員的行進(jìn)方向分類并標(biāo)記特殊點,將特殊點與巷道結(jié)構(gòu)的先驗知識進(jìn)行匹配,修正并更新通過步行者航位推算算法(PDR)得到的井下人員的初步運動軌跡。實驗結(jié)果表明:LDA的預(yù)處理方法能夠有效提高后續(xù)分類器的精度高達(dá)6%以上。該文提出的位置估算方法能夠有效減小累積誤差,具有較高的準(zhǔn)確性和魯棒性,活動識別精度能夠達(dá)到98%,可以實現(xiàn)可靠的實時定位。
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出版歷程
  • 收稿日期:  2017-07-25
  • 修回日期:  2018-03-02
  • 刊出日期:  2018-06-19

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