Motion State Estimation of Target Vehicle under Unknown Time-Varying Noises Based on Improved Square-Root Cubature Kalman Filter
In the advanced driver assistance system (ADAS), millimeter-wave radar is an important sensor to estimate the motion state of the target-vehicle. In this paper, the estimation of target-vehicle motion state includes two parts: the tracking of the target-vehicle and the identification of the target-v...
Main Authors: | Shiping Song, Jian Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/9/2620 |
Similar Items
-
A Novel Adaptive Robust Cubature Kalman Filter for Maneuvering Target Tracking with Model Uncertainty and Abnormal Measurement Noises
by: Xiangzhou Ye, et al.
Published: (2023-08-01) -
An Adaptive Cubature Kalman Filter for Target Tracking
by: R. Havangi
Published: (2022-07-01) -
Radar Target Tracking for Unmanned Surface Vehicle Based on Square Root Sage–Husa Adaptive Robust Kalman Filter
by: Shuanghu Qiao, et al.
Published: (2022-04-01) -
A New Adaptive High-Degree Unscented Kalman Filter with Unknown Process Noise
by: Daxing Xu, et al.
Published: (2022-06-01) -
Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise
by: Yuepeng Shi, et al.
Published: (2018-12-01)