Citation

Suzuki H, Ikoma N, Nakatsuji T. Trans. Soc. Automot. Eng. Jpn. 2015; 46(2): 473-478.

Copyright

(Copyright © 2015, Society of Automotive Engineers of Japan)

DOI

10.11351/jsaeronbun.46.473

PMID

unavailable

Abstract

This paper applies a dual Unscented Kalman filter (DUKF) and a dual particle filter (DPF) for estimating the
headway distance of vehicles traveling in a longitudinal platoon. Assuming that prior knowledge on the car-following
model parameter is different from what is observed in a real car-following, DUKF and DPF attempt to estimate the
headway by measuring the acceleration rate and velocity of all vehicles in the platoon. Numerical analysis showed that
DUKF and DPF estimated the headway accurately with a satisfactorily level of estimation precision.

Language: ja

Keywords

Active safety; Dual Filter; Headway Estimation; Information processing; Intelligent vehicle; Particle Filter; Safety; Unscented Kalman Filter