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Authors: Victor Talpaert 1 ; Ibrahim Sobh 2 ; B. Ravi Kiran 3 ; Patrick Mannion 4 ; Senthil Yogamani 5 ; Ahmad El-Sallab 2 and Patrick Perez 6

Affiliations: 1 U2IS, ENSTA ParisTech, Palaiseau, France, AKKA Technologies, Guyancourt and France ; 2 Valeo Egypt and Cairo ; 3 AKKA Technologies, Guyancourt and France ; 4 Galway-Mayo Institute of Technology and Ireland ; 5 Valeo Vision Systems and Ireland ; 6 Valeo.ai and France

Keyword(s): Autonomous Driving, Deep Reinforcement Learning, Visual Perception.

Abstract: Deep Reinforcement Learning (DRL) has become increasingly powerful in recent years, with notable achievements such as Deepmind’s AlphaGo. It has been successfully deployed in commercial vehicles like Mobileye’s path planning system. However, a vast majority of work on DRL is focused on toy examples in controlled synthetic car simulator environments such as TORCS and CARLA. In general, DRL is still at its infancy in terms of usability in real-world applications. Our goal in this paper is to encourage real-world deployment of DRL in various autonomous driving (AD) applications. We first provide an overview of the tasks in autonomous driving systems, reinforcement learning algorithms and applications of DRL to AD systems. We then discuss the challenges which must be addressed to enable further progress towards real-world deployment.

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Paper citation in several formats:
Talpaert, V.; Sobh, I.; Kiran, B.; Mannion, P.; Yogamani, S.; El-Sallab, A. and Perez, P. (2019). Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 564-572. DOI: 10.5220/0007520305640572

@conference{visapp19,
author={Victor Talpaert. and Ibrahim Sobh. and B. Ravi Kiran. and Patrick Mannion. and Senthil Yogamani. and Ahmad El{-}Sallab. and Patrick Perez.},
title={Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP},
year={2019},
pages={564-572},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007520305640572},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP
TI - Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems
SN - 978-989-758-354-4
IS - 2184-4321
AU - Talpaert, V.
AU - Sobh, I.
AU - Kiran, B.
AU - Mannion, P.
AU - Yogamani, S.
AU - El-Sallab, A.
AU - Perez, P.
PY - 2019
SP - 564
EP - 572
DO - 10.5220/0007520305640572
PB - SciTePress

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