Server-Based Indoor Location Detection System

Perente, Osman Kerem; Şerif, Tacha

doi:10.1007/978-3-319-97163-6_12

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Multienvironment performance comparison of robot‐assisted indoor location estimation system

Perente

Şerif

2020

Concurrency and Computation

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Many indoor location systems utilizing the fingerprinting technique require frequent signal map generation due to the dynamic properties of indoor environments. This time-consuming task can be freed from human involvement by using various techniques. Thus, a robot-aided signal map creator is implemented and its positioning performance as well as its mapping time is compared with a widely used human facilitated approach. For testing purposes, a low-cost, low-power, not off-the-shelf signal data collection robot is implemented. Its signal collection speed and location estimation precision is then compared with the manual method both in a small and large environment.The findings indicate that in the small environment, robot-aided approach performs with 268-cm error-rate 70% of the time. On the other hand, the improved robot-aided approach in large environment saves 52 min of labor-intense legwork and achieves 303.5-cm mean error-rate.

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