The Target Vehicle Movement State Estimation Method with Radar Based on Kalman Filtering Algorithm

DOI

10.2991/isccca.2013.84How to use a DOI?

Keywords

intelligent vehicle, radar(lidar), target vehicle, acceleration estimation, Kalman filter

Abstract

In this paper, based on Kalman filtering algorithm, a method of target vehicle motion state radar estimation with radar(or lidar) is presented. The state equations is established based on rigid plane dynamics theory, and then with a Kalman filter to do radar data processing, the position, velocity and acceleration of the target vehicle can be estimated at the same time, so that to cover the shortage that acceleration information can not be gained with radar system. Through simulation and field tests it is verified that the detection accuracy of position and velocity of target vehicle is increasing, and the acceleration of target vehicle can be estimated effectively and accurately.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xin Jia
AU  - Zuolong Wu
AU  - Hsin Guan
PY  - 2013/02
DA  - 2013/02
TI  - The Target Vehicle Movement State Estimation Method with Radar Based on Kalman Filtering Algorithm
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 342
EP  - 345
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.84
DO  - 10.2991/isccca.2013.84
ID  - Jia2013/02
ER  -