Longitudinal Tire Force Estimation of a Robotic Vehicle with Articulated Suspension: An Experimental Model-Based Approach with Localization Using Two GPS Modules

Author:

Ali Hussein F. M.1,Lim Yurak2,Kim Youngshik2

Affiliation:

1. Benha University,Department of Mechanical Engineering,Benha,Egypt,13511

2. Hanbat National University,Department of Mechanical Engineering,Daejeon,South Korea,31458

Funder

National Research Foundation

Publisher

IEEE

Reference15 articles.

1. State estimation of a robotic vehicle with six in-wheel drives using kalaman filter;ali;ASME 2020 29th Conference on Information Storage and Processing Systems,2020

2. Comparative Study of Extended and Unscented Kalman Filters for Estimating Motion States of an Autonomous Vehicle-Trailer System

3. State estimation and experimental verification of a robotic vehicle with six in-wheel drives using Kalman filter

4. Development of Six-wheeled Small Mobile Robot Platform and Slip Ratio Estimation

5. Motion state estimation for an autonomous vehicle-trailer system using kalman filtering-based multi-sensor data fusion;kim;The Asian International Journal of Life Sciences,2015

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