An indoor positioning method based on pedestrian dead reckoning and map matching

Zhenxing Ding; Yuhan Zhang

doi:10.1117/12.3026454

8 April 2024 An indoor positioning method based on pedestrian dead reckoning and map matching

Zhenxing Ding, Yuhan Zhang

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 1309025 (2024) https://doi.org/10.1117/12.3026454
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

Indoor positioning technology is one of the core technologies for location services and artificial intelligence applications and will play a very important role in people’s future lives. In order to solve the location problem in a complex indoor environment, this paper presents an indoor positioning method based on Pedestrian Dead Reckoning (PDR) and map matching. This method first uses PDR method to estimate pedestrian’s walking trajectory. Secondly, PDR estimation errors will be corrected by using the map matching algorithms. Finally, the Kalman filter will fuse the fixed PDR results with the Wi-Fi and geomagnetic fingerprints. Preliminary research shows that this method can provide confidence in the indoor positioning scenes, which can be used in malls, museums, supermarkets, airports, and other places.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenxing Ding and Yuhan Zhang "An indoor positioning method based on pedestrian dead reckoning and map matching", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 1309025 (8 April 2024); https://doi.org/10.1117/12.3026454

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