Nov 9, 2017 · This paper presents a new method to address issues associated with vehicle system state estimation using an unscented Kalman filter (UKF) ...
This paper presents a new method to address issues associated with vehicle system state estimation using an Unscented Kalman Filter (UKF) with considering ...
Vehicle System State Estimation Based on Adaptive Unscented Kalman Filtering Combing With Road Classification ... © The SAO/NASA Astrophysics Data System.
Vehicle System State Estimation Based on Adaptive Unscented Kalman Filtering Combing With Road Classification.
Abstract: This paper presents a new method to address issues associated with vehicle system state estimation using an unscented Kalman filter (UKF) with ...
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Jun 25, 2023 · Through research on existing achievements, this paper proposes an adaptive unscented Kalman filter method based on the Sage–Husa algorithm to ...
Missing: Combing | Show results with:Combing
Apr 26, 2022 · Aiming at solving problem of vehicle state estimation, an adaptive fading unscented Kalman filter(AFUKF) algorithm was proposed. Based on ...
Missing: Combing Classification.
Vehicle speed, road roughness grade and sprung mass are the three main factors to influence suspension control and state estimation.
Jun 16, 2023 · In this paper, a maximum likelihood principle (MLP) based adaptive robust extended kalman filter for estimating the states of the adopted non- ...
This paper presents a new method to address issues associated with vehicle system state estimation using an unscented Kalman filter (UKF) with considering ...