Friction and Road Condition Estimation using Bayesian Networks

Author:

Volkmann Björn,Kortmann Karl-Philipp

Publisher

Elsevier BV

Subject

General Medicine

Reference25 articles.

1. Road friction virtual sensing: A review of estimation techniques with emphasis on low excitation approaches;Acosta;Applied Sciences,2017

2. Un-scented kalman filter for vehicle state estimation;Antonov;Vehicle System Dynamics,2011

3. Online bayesian tire-friction learning by gaussian-process state-space models;Berntorp;IFAC-PapersOnLine,2020

4. Classification of road surface and weather-related condition using deep convolutional neural networks;Busch;In Lecture Notes in Mechanical Engineering,2020

5. The cityscapes dataset for semantic urban scene understanding;Cordts,2016

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. A novel adaptive trajectory tracking control for complex environments based on accelerated back-propagation neural network;Journal of the Franklin Institute;2024-09

2. Friction and Road Condition Estimation using Dynamic Bayesian Networks*;2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI);2023-11-27

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