A knowledge-based step length estimation method based on fuzzy logic and multi-sensor fusion algorithms for a pedestrian dead reckoning system

Ying Chih Lai, Chin Chia Chang, Chia Ming Tsai, Shih Ching Huang, Kai Wei Chiang

研究成果: Article同行評審

9 引文 斯高帕斯(Scopus)

摘要

The demand for pedestrian navigation has increased along with the rapid progress in mobile and wearable devices. This study develops an accurate and usable Step Length Estimation (SLE) method for a Pedestrian Dead Reckoning (PDR) system with features including a wide range of step lengths, a self-contained system, and real-Time computing, based on the multi-sensor fusion and Fuzzy Logic (FL) algorithms. The wide-range SLE developed in this study was achieved by using a knowledge-based method to model the walking patterns of the user. The input variables of the FL are step strength and frequency, and the output is the estimated step length. Moreover, a waist-mounted sensor module has been developed using low-cost inertial sensors. Since low-cost sensors suffer from various errors, a calibration procedure has been utilized to improve accuracy. The proposed PDR scheme in this study demonstrates its ability to be implemented on waist-mounted devices in real time and is suitable for the indoor and outdoor environments considered in this study without the need for map information or any pre-installed infrastructure. The experiment results show that the maximum distance error was within 1.2% of 116.51 m in an indoor environment and was 1.78% of 385.2 m in an outdoor environment.

原文English
文章編號70
期刊ISPRS International Journal of Geo-Information
5
發行號5
DOIs
出版狀態Published - 2016 五月

All Science Journal Classification (ASJC) codes

  • 地理、規劃與發展
  • 地球科學電腦
  • 地球與行星科學(雜項)

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