Research of pedestrian navigation system based on PDR algorithm

Pei Yu*, Chunlei Song, Linlin Xia

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

Pedestrian navigation system based on Pedestrian Dead Reckoning(PDR) is an autonomous navigation system, which can determine the pedestrian current location and record pedestrian walking trajectory in real time. In this thesis, a set of PDR algorithm is designed based on MTi-G-710 GNSS / INS equipment. Firstly, the zero-crossing detection algorithm is designed as gait detection algorithm to record the pedestrian walking state. Then, on the basis of gait detection algorithm, a nonlinear step size estimation algorithm with fixed step coefficients is combined to realize high-precision stability detection of pedestrian walking distance; Finally, after comparing the magnetic heading and strapdown heading algorithms, A new method for heading measurement is designed to determine pedestrian direction, in which the magnetic heading provides initial heading and integrates strapdown heading during walking. Through the actual test of the pedestrian navigation system, the feasibility of designed PDR algorithm scheme and the superiority of fusion heading algorithm are verified.

Original languageEnglish
Publication statusPublished - 2017
Event5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017 - Beijing, China
Duration: 2 Nov 20175 Nov 2017

Conference

Conference5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017
Country/TerritoryChina
CityBeijing
Period2/11/175/11/17

Keywords

  • Gait detection
  • Heading measurement step size estimation
  • PDR algorithm
  • Pedestrian navigation

Fingerprint

Dive into the research topics of 'Research of pedestrian navigation system based on PDR algorithm'. Together they form a unique fingerprint.

Cite this