Artificial Neural Networks and Reinforcement Learning for Model-based Design of an Automated Vehicle Guidance System

Or Aviv Yarom, Soeren Scherler, Marian Goellner, Xiaobo Liu-Henke

2020

Abstract

This paper presents the model-based development of a function for lateral control of an automated vehicle using Artificial Neural Networks (ANN) and Genetic Algorithms (GA). After an explanation of the methodology used and a summary of the state of the art for automated lateral control as well as for ANNs and reinforcement learning, the driving function is designed in the form of a functional structure. This is followed by a detailed description of the model-based design and validation process of the AI system. Finally, the function for automated lateral guidance in combination with a superior intelligent route management is verified and optimized in a pilot application.

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Paper Citation


in Harvard Style

Yarom O., Scherler S., Goellner M. and Liu-Henke X. (2020). Artificial Neural Networks and Reinforcement Learning for Model-based Design of an Automated Vehicle Guidance System. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-395-7, pages 725-733. DOI: 10.5220/0008995407250733


in Bibtex Style

@conference{icaart20,
author={Or Yarom and Soeren Scherler and Marian Goellner and Xiaobo Liu-Henke},
title={Artificial Neural Networks and Reinforcement Learning for Model-based Design of an Automated Vehicle Guidance System},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2020},
pages={725-733},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008995407250733},
isbn={978-989-758-395-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Artificial Neural Networks and Reinforcement Learning for Model-based Design of an Automated Vehicle Guidance System
SN - 978-989-758-395-7
AU - Yarom O.
AU - Scherler S.
AU - Goellner M.
AU - Liu-Henke X.
PY - 2020
SP - 725
EP - 733
DO - 10.5220/0008995407250733