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Evaluation of a Method for Improving Pedestrian Positioning Accuracy using Vehicle RSSI

Authors:
Yuya Nishimaki
Hisato Iwai
Kenya Sato

Keywords: position estimation, vehicle-to-vehicle communication, RSSI, path loss index

Abstract:
As the penetration rate of smartphones and tablet-type devices increases, various services using such location information are being used. In navigation applications, we can check our current location and how to get to a destination. Even if we are in a relatively new area, we can go anywhere using a navigation application. Other systems prevent traffic accidents by exchanging position information using vehicle-to-pedestrian communication. In these services and systems, especially for preventing accidents, accurate position information is critical. Currently, the Global Positioning System (GPS) is most frequently used as a positioning method to acquire position information outdoors, but its signals are influenced by the surrounding buildings in urban areas, reducing positioning accuracy. Therefore, in this paper, we propose a position estimation method using the Received Signal Strength Indication (RSSI) of vehicles and beacons for high and stable positioning accuracy outdoors. We applied a Kalman filter to RSSI and dynamically calculated the path loss index using vehicle-to-vehicle communication. We compared the positioning accuracy of our method and conventional methods by simulations and showed our method's superiority.

Pages: 72 to 77

Copyright: Copyright (c) IARIA, 2018

Publication date: June 24, 2018

Published in: conference

ISSN: 2327-2058

ISBN: 978-1-61208-643-9

Location: Venice, Italy

Dates: from June 24, 2018 to June 28, 2018