Indoor Navigation Algorithm Based on a Smartphone Inertial Measurement Unit and Map Matching
This work addresses indoor localization for pedestrians using only smartphones, but it is incremental as it builds on existing PDR and map matching techniques.
The researchers tackled indoor navigation by combining smartphone inertial sensors with map matching to reduce position errors, achieving a significant reduction in trajectory error in real-world experiments.
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.