State Estimation of Drive-by-Wire Chassis Vehicle Based on Dual Unscented Particle Filter Algorithm
Abstract Accurate vehicle dynamic information plays an important role in vehicle driving safety. However, due to the characteristics of high mobility and multiple controllable degrees of freedom of drive-by-wire chassis vehicles, the current mature application of traditional vehicle state estimation...
Main Authors: | Zixu Wang, Chaoning Chen, Quan Jiang, Hongyu Zheng, Chuyo Kaku |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2024-02-01
|
Series: | Chinese Journal of Mechanical Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1186/s10033-024-00993-y |
Similar Items
-
Iterative Truncated Unscented Particle Filter
by: Yanbo Wang, et al.
Published: (2020-04-01) -
Unscented Kalman Filter Based Attitude Estimation of a Quadrotor
by: Aziz Kaba
Published: (2021-01-01) -
State Parameter Estimation of Intelligent Vehicles Based on an Adaptive Unscented Kalman Filter
by: Yu Wang, et al.
Published: (2023-03-01) -
Extended Particle-Aided Unscented Kalman Filter Based on Self-Driving Car Localization
by: Ming Lin, et al.
Published: (2020-07-01) -
An Accurate State of Charge Estimation Method for Lithium Iron Phosphate Battery Using a Combination of an Unscented Kalman Filter and a Particle Filter
by: Thanh-Tung Nguyen, et al.
Published: (2020-09-01)