Individual Mobile Navigation System of Way Counting

Authors

DOI:

https://doi.org/10.18372/1990-5548.73.17010

Keywords:

pedestrian dead reckoning, autocorrelation function, thresholding, peaks detection, zerocrossing, global route

Abstract

The problem of step counting has been considered for personal navigation while walking and using mobile sensors with low accuracy. Three primary approaches to computing the acceleration vector magnitude in time domain have enabled step counting. When analyzing data from mobile phone sensors for various pedestrian kinds, environmental factors, and their mobility patterns, several methodologies were compared. Except for the approach of normalized auto-correlation based step counting, which only processes short distances, the walking trajectories have been chosen to be long enough (at least 100 meters) to produce statistically representative results. The specifications for a specific step counting system have been developed.

Author Biographies

Mykola Vasylenko , National Aviation University, Kyiv

Candidate of Science (Engineering). Senior lecturer

Aviation Computer-Integrated Complexes Department

Faculty of Air Navigation, Electronics and Telecommunications

Oleksandr Lazarevskiy , National Aviation University, Kyiv

Bachelor

Aviation Computer-Integrated Complexes Department

Faculty of Air Navigation, Electronics and Telecommunications

References

M. A. Al-sveity et al., “A system for detecting and recognizing moving biological objects for unmanned vehicles based on intelligent edge computing,” Telecommunication, 2021, no. 9(22). https://doi.org/10.34832/elsv.2021.22.9.004 (date of access: 18.11.2022).

Gepard_vvk., Algorithms for extracting image contours, Habr. https://habr.com/ru/post/114452/ (date of access: 18.11.2022).

Car Number Plate Detection Using MATLAB and Image Processing. Circuit Digest – Electronics Engineering News, Latest Products, Articles and Projects. URL: https://circuitdigest.com/tutorial/vehicle-number-plate-detection-using-matlab-and-image-processing (date of access: 18.11.2022).

Repository BNTU – Repository BNTU. URL: https://rep.bntu.by/bitstream/handle/data/27161/Vosstanovlenie_kontrasta_polutonovogo_izobrazheniya_v_pakete_MATLAB.pdf?sequence=1&isAllowed=y (date of access: 18.11.2022).

M. P. Mukhina, Algorithm of Visual Tracking of Contrast Moving Objects. Of the Third World Congress “Aviation in the XXI-st Century,” 2008.

Downloads

Published

2022-11-24

Issue

Section

AUTOMATION AND COMPUTER-INTEGRATED TECHNOLOGIES