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An Enhanced Adaptive Unscented Kalman Filter for Vehicle State Estimation
IEEE Transactions on Instrumentation and Measurement, 2022Accurate vehicle state information is crucial for safe driving and dynamic control of vehicles. Vehicle state estimation under unknown noise conditions is an important research topic.
Yingjie Zhang +5 more
semanticscholar +1 more source
A Robust Unscented M-Estimation-Based Filter for Vehicle State Estimation With Unknown Input
IEEE Transactions on Vehicular Technology, 2022Longitudinal velocity, lateral velocity, and front wheel steering angle are crucial states for vehicle active safety features. However, direct measurement of these variables requires expensive measurement instruments and can be easily affected by vehicle
Zhongjin Xue +4 more
semanticscholar +1 more source
An Adaptive Fault-Tolerant EKF for Vehicle State Estimation With Partial Missing Measurements
IEEE/ASME transactions on mechatronics, 2021Some vehicle state information that cannot be measured by in-vehicle sensors is quite important for the active safety control of intelligent vehicles. To obtain these key information in real-time, many advanced estimation algorithms are proposed. However,
Yan Wang +5 more
semanticscholar +1 more source
Vehicle state estimation for INS/GPS aided by sensors fusion and SCKF-based algorithm
, 2021To improve the safety and stability of land vehicles, this paper explores the estimation problem for vehicle states, including lateral velocity and attitude.
Rui Song, Yongchun Fang
semanticscholar +1 more source