Bataineh Safaa, Bahillo Alfonso, Díez Luis Enrique, Onieva Enrique, Bataineh Ikram
Faculty of Engineering, University of Deusto, Av. Universidades, 24, Bilbao 48007, Spain.
DeustoTech-Fundación Deusto, Fundación Deusto, Av. Universidades, 24, Bilbao 48007, Spain.
Sensors (Basel). 2016 Aug 16;16(8):1302. doi: 10.3390/s16081302.
In this paper, we present an offline map matching technique designed for indoor localization systems based on conditional random fields (CRF). The proposed algorithm can refine the results of existing indoor localization systems and match them with the map, using loose coupling between the existing localization system and the proposed map matching technique. The purpose of this research is to investigate the efficiency of using the CRF technique in offline map matching problems for different scenarios and parameters. The algorithm was applied to several real and simulated trajectories of different lengths. The results were then refined and matched with the map using the CRF algorithm.
在本文中，我们提出了一种基于条件随机场（CRF）的、专为室内定位系统设计的离线地图匹配技术。所提出的算法能够优化现有室内定位系统的结果，并将其与地图进行匹配，该算法通过在现有定位系统和所提出的地图匹配技术之间采用松耦合的方式来实现。本研究的目的是探究在不同场景和参数下，将CRF技术用于离线地图匹配问题的效率。该算法被应用于多条不同长度的真实和模拟轨迹。然后使用CRF算法对结果进行优化并与地图进行匹配。
