Paper Info
Title
A Vehicular Positioning Enhancement with Connected Vehicle Assistance
Abstract
In this paper, we consider the problem of vehicular positioning enhancement with emerging connected vehicles (CV) technologies. In order to actually describe the scenario, the Interacting Multiple Model (IMM) filter is used for depicting varies of observation models. A CV-enhanced IMM filtering approach is proposed to locate a vehicle by data fusion from both coarse GPS data and the Doppler frequency shifts (DFS) measured from dedicated short-range communications (DSRC) radio signals. Simulation results state the effectiveness of the proposed approach.
Year
DOI
Venue
2015
10.1109/VTCFall.2015.7390825
2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)
Keywords
Field
DocType
DSRC radio signals,dedicated short-range communication,DFS,Doppler frequency shifts,coarse GPS data,data fusion,CV-enhanced IMM filtering approach,observation model,interacting multiple model filter,CV technology,connected vehicle assistance,vehicular positioning enhancement
Distributed File System,Computer science,Simulation,Filter (signal processing),Electronic engineering,Kalman filter,Sensor fusion,Connected vehicle,Global Positioning System,Doppler effect,Dedicated short-range communications
Conference
Citations 
PageRank 
References 
0
0.34
14
Authors
6
Name
Order
Citations
PageRank
Xuting Duan1264.92
Yunpeng Wang219425.34
Daxin Tian320432.49
Liang Sun4284.75
David G. Michelson511617.07
Victor C. M. Leung69717759.02