The Target Vehicle Movement State Estimation Method with Radar Based on Kalman Filtering Algorithm
Xin Jia, Zuolong Wu, Hsin Guan
Available Online February 2013.
- https://doi.org/10.2991/isccca.2013.84How to use a DOI?
- intelligent vehicle, radar(lidar), target vehicle, acceleration estimation, Kalman filter
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/isccca.2013.84 ID - Jia2013/02 ER -