A Direct Slip Ratio Estimation Method based on an Intelligent Tire and Machine Learning

no code implementations • 9 Jun 2021 • Nan Xu, Zepeng Tang, Hassan Askari, Jianfeng Zhou, Amir Khajepour

The proposed estimation model is able to estimate the slip ratio continuously and stably using only the acceleration from the intelligent tire system, and the estimated slip ratio range can reach 30%.

Autonomous Vehicles BIG-bench Machine Learning

Lateral Force Prediction using Gaussian Process Regression for Intelligent Tire Systems

no code implementations • 25 Sep 2020 • Bruno Henrique Groenner Barbosa, Nan Xu, Hassan Askari, Amir Khajepour

It is delineated that the proposed intelligent tire system can provide reliable information about the tire-road interactions even in the case of high slip angles.

GPR regression