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Road adhesion coefficient Estimation: Physics-informed deep learning method with vehicle dynamics model

Expert Systems with Applications
Xixi Li, Minglun Ren
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The Improved Algorithm for Identifying the Vehicle Road Adhesion Coefficient

2017 International Conference on Network and Information Systems for Computers (ICNISC), 2017
ue to the vehicle road adhesion coefficient recognition is an important subject in research on dynamics and control of vehicle, put forward the improved algorithm to identify each tire of the road adhesion coefficient. Get the vehicle adhesion coefficient in the comprehensive compensation double nonlinearity characterization method of yaw rate ...
Fei Gao, Yun-Cen Zhao, Lu Zhang, Guoye Wang   +3 more
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Road Adhesion Coefficient Identification Method Based on Vehicle Dynamics Model and Multi-Algorithm Fusion

SAE International Journal of Advances and Current Practices in Mobility, 2022
<div class="section abstract"><div class="htmlview paragraph">As an important input parameter of intelligent vehicle active safety technology, road adhesion coefficient is of great significance in autonomous collision avoidance, emergency braking and collision avoidance, and variable adhesion road motion control.
Xin Lu, Qi Shi, Yan Li, Ke Xu, Gangfeng Tan   +4 more
openaire   +2 more sources

Estimation of Road Adhesion Coefficient Using Strong Tracking CKF with M -Estimation Theory

2024 8th CAA International Conference on Vehicular Control and Intelligence (CVCI)
Real-time acquisition of road adhesion coefficient (RAC) makes great sense to advanced driver assistance system. RAC cannot be obtained straightly from vehicular sensors considering the limited cost.
Shuo Bai, Zhaoyu Qiu, Lilin Shen, Weihua Wang, Xiaolong Cheng, Guodong Yin   +5 more
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Road Adhesion Coefficient Estimation Based on the Steering Wheel Rebound After Steering

Volume 3: 20th International Conference on Advanced Vehicle Technologies; 15th International Conference on Design Education, 2018
Accurately estimating road adhesion coefficient is very important for vehicle stability control system. In this paper, an innovation method to estimate the road adhesion coefficient is proposed. This method can be used in vehicles without additional sensors.
Liang Yu, Sheng Zheng, Xiaohui Liu, Jinghu Chang, Fei Li   +4 more
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Optimization design of unmanned mining truck path tracking controller based on road adhesion coefficient estimation

Measurement science and technology
In response to the issues of inaccurate tracking precision caused by continuous turning and variable road adhesion coefficients on complex roads in mining areas for unmanned mining trucks, this paper adopts unscented Kalman filter (UKF) to estimate the ...
Yao Zhang, Qing Ye, Jianan Wan, Ruochen Wang, LeiJun Xu   +4 more
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Robust estimation of tire road peak adhesion coefficient based on excitation assessment

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
The robust and accurate estimation of the tire-road peak adhesion coefficient (TRPAC) serves not only as a critical input for active safety control systems but also as an essential parameter in intelligent chassis dynamics control systems.
Pei Zhang, Zhanpeng You, Jie Hu
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Road Adhesion Coefficient Estimation Method Based on Image and Vehicle Dynamics Online Fusion

IEEE Transactions on Vehicular Technology
Linhui Zhao, Mingze Xu
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A new preprocessment method for road peak adhesion coefficient fusion estimation

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2022
Accurate estimation of road peak adhesion coefficient is of great significance in vehicle active safety systems. In order to prevent the vehicle from running out of control in actual driving process, the estimation algorithm should be able to adapt to various working conditions, and transmit estimated information of road peak adhesion coefficient to ...
Yinfeng Han, Yongjie Lu, Hongwei Wang, Yang Wang   +3 more
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Effect of Road Adhesion Coefficient on Tractor-Semitrailer Cornering Braking Stability

Mechanical Engineering and Control Systems, 2016
Wei Wang, Chen Li, Tang Geteng, Cheng Wang   +3 more
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