地下矿山集群三维实时协同定位算法

Cunle Zhang, Yi Zhang, Chengkai Tang, Haonan Wang, Jiaming Zhang, Haobo Li
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引用次数: 0

摘要

在现代大型矿山中,定位服务越来越重要,其首要需求是大规模、高精度和快速度。本文提出了一种处理大规模用户定位的三维因子图实时协同定位方法,解决集群目标定位问题,包括矿高辅助策略、信息传递准则、因子图置信度模型和三维因子图协同定位算法。仿真结果表明,该算法在定位规模、精度和实时性方面均优于其他算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clusters 3D Real-time Cooperative Positioning Algorithm in Underground Mines
Location service is becoming more and more important in modern large-scale mines, and its primary demand is large scale, high precision and fast speed. This paper proposes a real-time cooperative location method of three- dimensional factor graph to deal with large-scale user location to solve the problem of cluster target location, including mine height assistance strategy, information transmission criterion, factor graph confidence model and three-dimensional factor graph cooperative location algorithm. Simulation results show that the proposed algorithm is superior to other algorithms in positioning scale, accuracy and real-time performance.
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