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Authors: Hadi Askaripoor ; Sina Shafaei and Alois Knoll

Affiliation: Informatics Department, Technical University of Munich, Boltzmannstr. 3, 85748 Garching bei München, Germany

Keyword(s): Scheduling, Resource Planner, Autonomous Driving, Platform Architecture, Decisions Making.

Abstract: Autonomous driving has attracted a significant amount of attentions over the last ten years. Providing a flexible platform to schedule the executions of the tasks under hard real-time constraints is also a crucial matter which needs to be taken into account by the integration of intelligent applications. In this work, we propose a resource planner, consisting of a monitoring mechanism, context manager, and decision unit which facilitates the timing requirements in the presence of AI-based applications for the autonomous vehicles.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Askaripoor, H.; Shafaei, S. and Knoll, A. (2021). A Flexible Scheduling Architecture of Resource Distribution Proposal for Autonomous Driving Platforms. In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-513-5; ISSN 2184-495X, SciTePress, pages 594-599. DOI: 10.5220/0010471605940599

@conference{vehits21,
author={Hadi Askaripoor. and Sina Shafaei. and Alois Knoll.},
title={A Flexible Scheduling Architecture of Resource Distribution Proposal for Autonomous Driving Platforms},
booktitle={Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2021},
pages={594-599},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010471605940599},
isbn={978-989-758-513-5},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - A Flexible Scheduling Architecture of Resource Distribution Proposal for Autonomous Driving Platforms
SN - 978-989-758-513-5
IS - 2184-495X
AU - Askaripoor, H.
AU - Shafaei, S.
AU - Knoll, A.
PY - 2021
SP - 594
EP - 599
DO - 10.5220/0010471605940599
PB - SciTePress