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Authors: David Yagüe-Cuevas ; Pablo Marín-Plaza ; María Paz-Sesmero and Araceli Sanchis

Affiliation: Intelligent Systems Lab, University Carlos III of Madrid, Av. de la Universidad, Leganés, Madrid, Spain

Keyword(s): Autonomous Driving, CCAM, Information System, Software Application, Data Representation.

Abstract: The relevance of methodologies able to exchange data between software modules in charge of controlling an autonomous vehicle have been increasing accordingly to the interests in the industry. The information managed by these systems needs to be represented in such a way the autonomous vehicle is able to produce safe behaviours as well as reliable control outputs when deployed in real-world environments. The efforts to define these data structures entail the first step in the path towards a fully autonomous platform. In this work, a representation of this nature is proposed, together with the flow of information of a layered modular software architecture which aims to operate an autonomous vehicle from low level actuators to high level behaviours.

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Paper citation in several formats:
Yagüe-Cuevas, D.; Marín-Plaza, P.; Paz-Sesmero, M. and Sanchis, A. (2023). Towards a Robust Traffic Scene Representation in Cooperative Connected Automated Mobility. In Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-652-1; ISSN 2184-495X, SciTePress, pages 265-272. DOI: 10.5220/0011841100003479

@conference{vehits23,
author={David Yagüe{-}Cuevas. and Pablo Marín{-}Plaza. and María Paz{-}Sesmero. and Araceli Sanchis.},
title={Towards a Robust Traffic Scene Representation in Cooperative Connected Automated Mobility},
booktitle={Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2023},
pages={265-272},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011841100003479},
isbn={978-989-758-652-1},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Towards a Robust Traffic Scene Representation in Cooperative Connected Automated Mobility
SN - 978-989-758-652-1
IS - 2184-495X
AU - Yagüe-Cuevas, D.
AU - Marín-Plaza, P.
AU - Paz-Sesmero, M.
AU - Sanchis, A.
PY - 2023
SP - 265
EP - 272
DO - 10.5220/0011841100003479
PB - SciTePress

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