Friction and Road Condition Estimation using Dynamic Bayesian Networks*
Author:
Affiliation:
1. Leibniz University Hannover, Institute of Mechatronic Systems, An der Universität 1,30823 Garbsen,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10361261/10360501/10361516.pdf?arnumber=10361516
Reference27 articles.
1. Integrating INS Sensors With GPS Measurements for Continuous Estimation of Vehicle Sideslip, Roll, and Tire Cornering Stiffness
2. Estimation of vehicle attitude and side-slip using a low-cost IMU and kinematic vehicle constraints;Volkmann,2022
3. Classification of Road Surface and Weather-Related Condition Using Deep Convolutional Neural Networks
4. Assessment of Deep Convolutional Neural Networks for Road Surface Classification
5. Estimation of the Maximum Tire-Road Friction Coefficient
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