Vehicle Tracking Using Particle Filter in Wi-Fi Network

Author

Lu, Henghui ; Zhang, Sheng ; Liu, Xingchuan ; Lin, Xiaokang

Author_Institution

Modern Commun. Lab., Tsinghua Univ., Shenzhen, China

fYear

2010

fDate

6-9 Sept. 2010

Firstpage

1

Lastpage

5

Abstract

Location tracking for vehicle plays a key role in increasing road safety and transportation efficiency. In this paper, a Wi-Fi based real-time tracking system which can work in both indoor and outdoor environments is presented. The proposed system estimates the location of vehicle using the Received Signal Strength (RSS) fingerprints of transmitted Wi-Fi Access Points (APs) and Particle Filter (PF). A simple, effective approach based on Inverse Distance Weighting (IDW) is designed to build fingerprints database effectively. Outdoor experiments have been carried out to investigate the usefulness of IDW and PF. Experiment results show that a tracking system based on Wi-Fi signals is able to give a position estimate of moving vehicle in real time, and that it can be significantly enhanced by PF compared with by Kalman Filter (KF).

Keywords

Kalman filters; real-time systems; wireless LAN; Kalman filter; Wi-Fi access point; Wi-Fi based real-time tracking system; Wi-Fi network; Wi-Fi signal; fingerprint database; inverse distance weighting; particle filter; received signal strength fingerprint; road safety; transportation efficiency; vehicle location tracking; Databases; Fingerprint recognition; IEEE 802.11 Standards; Particle filters; Radar tracking; Target tracking; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd

Conference_Location

Ottawa, ON

ISSN

1090-3038

Print_ISBN

978-1-4244-3573-9

Electronic_ISBN

1090-3038

Type

conf

DOI

10.1109/VETECF.2010.5594099

Filename

5594099