An Enhanced Adaptive Unscented Kalman Filter for Vehicle State Estimation
Author:
Affiliation:
1. College of Information Science and Engineering, Hunan University, Changsha, China
2. School of Computer Science, Northwestern Polytechnical University, Xi’an, China
Funder
National Key Research and Development Program of China
NSFC
Strategic Emerging Industry Science and Technology Tackling and Major Achievements Transformation Project of Hunan Province
Key Technology of Water Supply Network Leakage Control Based on Supercomputing and Its Engineering Application
Hunan Water Metering Information Engineering Technology Research Center
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09788540.pdf?arnumber=9788540
Reference46 articles.
1. Unscented Kalman filtering for additive noise case: augmented versus nonaugmented
2. Adaptive Unscented Kalman Filter for Target Tracking with Unknown Time-Varying Noise Covariance
3. Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation
4. Adaptive adjustment of noise covariance in Kalman filter for dynamic state estimation
5. Research on the vehicle state and road tire friction coefficient estimation based on dual extended Kalman filter;hu,2009
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