Uncertainty modeling and runtime verification for autonomous vehicles driving control: A machine learning-based approach-Reference-Cited by-同舟云学术

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Uncertainty modeling and runtime verification for autonomous vehicles driving control: A machine learning-based approach

Published:2020-09 Issue: Volume:167 Page:110617
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

An Dongdong^ORCID,Liu Jing,Zhang Min,Chen Xiaohong,Chen Mingsong,Sun Haiying

Funder

Research and Development

NSFC

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference52 articles.

1. Verification of RNN-based neural agent-environment systems;Akintunde,2019

2. Driving Style Recognition Using Fuzzy Logic;Aljaafreh,2012

3. Learning-based Probabilistic Modeling and Verifying Driver Behavior using MDP;Bai,2019

4. Convolutional neural network with adaptive regularization to classify driving styles on smartphones;Bejani;IEEE Trans. Intell. Transp. Syst.,2019

5. Three decades of driver assistance systems: review and future perspectives;Bengler;IEEE Intell. Transp. Syst. Mag.,2014

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