loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Or Aviv Yarom ; Soeren Scherler ; Marian Goellner and Xiaobo Liu-Henke

Affiliation: Ostfalia University of Applied Sciences, Salzdahulmer Str. 46/48, 38302 Wolfenbuettel, Germany

Keyword(s): Artificial Intelligence, AI, Artificial Neural Networks, ANN, Genetic Algorithm, Reinforcement Learning, Automated Vehicle Guidance, Automated Lateral Guidance, Automated Driving, ADAS.

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.200.39.110

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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; ISSN 2184-433X, SciTePress, pages 725-733. DOI: 10.5220/0008995407250733

@conference{icaart20,
author={Or Aviv 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},
issn={2184-433X},
}

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
IS - 2184-433X
AU - Yarom, O.
AU - Scherler, S.
AU - Goellner, M.
AU - Liu-Henke, X.
PY - 2020
SP - 725
EP - 733
DO - 10.5220/0008995407250733
PB - SciTePress