Conditional random field-based offline map matching for indoor environments
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2016-08-16
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MDPI AG
Resumen
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.
Palabras clave
Conditional random fields
Indoor localization
Indoor positioning
Inertial sensors
Map modelling
Mobility of pedestrians
Navigation systems
Offline map matching
Indoor localization
Indoor positioning
Inertial sensors
Map modelling
Mobility of pedestrians
Navigation systems
Offline map matching
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Cita
Bataineh, S., Bahillo, A., Díez, L. E., Onieva, E., & Bataineh, I. (2016). Conditional random field-based offline map matching for indoor environments. Sensors (Switzerland), 16(8). https://doi.org/10.3390/S16081302