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Indoor Navigation Algorithm Based on a Smartphone Inertial Measurement Unit and Map Matching

2021/09/24 by Taewon Kang, Kang, Taewon, Younghoon Shin +1
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Robotics (cs.RO) #Signal Processing (eess.SP) #cs.RO #eess.SP #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2109.11706

Submitted to ICTC 2021

arxiv created 2021/09/24 · arxiv updated 2021/09/27

Abstract

We propose an indoor navigation algorithm based on pedestrian dead reckoning (PDR) using an inertial measurement unit in a smartphone and map matching. The proposed indoor navigation system is user-friendly and convenient because it requires no additional device except a smartphone and works with a pedestrian in a casual posture who is walking with a smartphone in their hand. Because the performance of the PDR decreases over time, we greatly reduced the position error of the trajectory estimated by PDR using a map matching method with a known indoor map. To verify the proposed indoor navigation algorithm, we conducted an experiment in a real indoor environment using a commercial Android smartphone. The performance of our algorithm was demonstrated through the results of the experiment.

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