Autonomous Vehicle Architecture Inspired by the Neurocognition of Human Driving

Mauro Da Lio, Alice Plebe, Daniele Bortoluzzi, Gastone Pietro Rosati Papini, Riccardo Donà

Abstract

The realization of Autonomous vehicles is recognized as a relevant objective for the modern society and constitutes a challenge which in the last decade is concentrating a growing interest, involving both manufacturers and research institutes. The standard approach to the realization of automated driving agents is based on a well-known paradigm, consisting of the sense-think-act scheme. Even though this implements an understandable and agreeable logic, a driving agent based on such an approach needs to be tested and qualified at a level of reliability which requires a huge experimental campaign. In this position paper the scope of the problem of automated driving is widened into the cognitive sciences, where the inspiration is taken to reformulate the underlying paradigm of the automated agent architecture. In the framework of the EU Horizon 2020 Dreams4Cars Research and Innovation Action project the challenge is to design and train an automated driving agent which mimics the known human cognitive architecture and as such is able to learn from significant situations encountered (either simulated or experienced), rather than simply applying a set of fixed rules.

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Paper Citation


in Harvard Style

Da Lio M., Plebe A., Bortoluzzi D., Rosati Papini G. and Donà R. (2018). Autonomous Vehicle Architecture Inspired by the Neurocognition of Human Driving.In Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-293-6, pages 507-513. DOI: 10.5220/0006785605070513


in Bibtex Style

@conference{vehits18,
author={Mauro Da Lio and Alice Plebe and Daniele Bortoluzzi and Gastone Pietro Rosati Papini and Riccardo Donà},
title={Autonomous Vehicle Architecture Inspired by the Neurocognition of Human Driving},
booktitle={Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2018},
pages={507-513},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006785605070513},
isbn={978-989-758-293-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Autonomous Vehicle Architecture Inspired by the Neurocognition of Human Driving
SN - 978-989-758-293-6
AU - Da Lio M.
AU - Plebe A.
AU - Bortoluzzi D.
AU - Rosati Papini G.
AU - Donà R.
PY - 2018
SP - 507
EP - 513
DO - 10.5220/0006785605070513