Estimation of Vehicle State Based on Limited Memory Random Weighted Unscented Kalman Filter-Reference-Cited by-同舟云学术

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Estimation of Vehicle State Based on Limited Memory Random Weighted Unscented Kalman Filter

Published:2021-10-29 Issue: Volume: Page:
ISSN:
Container-title:2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI)
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Author:

Hu Jingyu,Wang Yan,Yan Yongjun,Ren Yanjun,Wang Jingxiang,Yin Guodong

Funder

Nature

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9661115/9661116/09661257.pdf?arnumber=9661257

Reference12 articles.

1. A robust observer designed for vehicle lateral motion estimation

2. Evaluation of a sliding mode observer for vehicle sideslip angle

3. Analysis and Modeling of Driver's Gaze Trajectories in Curves Driving

4. An Extended Adaptive Kalman Filter for Real-time State Estimation of Vehicle Handling Dynamics

5. Vehicle System State Estimation Based on Adaptive Unscented Kalman Filtering Combing With Road Classification

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimation of road adhesion coefficient and sideslip angle for electric vehicles with slip-aware constraints using strong tracking unscented Kalman filter;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-01-04

2. State Parameter Estimation of Intelligent Vehicles Based on an Adaptive Unscented Kalman Filter;Electronics;2023-03-22

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