Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems

The dependence of autonomous vehicles (AVs) on sensors and communication links exposes them to cyber-physical (CP) attacks by adversaries that seek to take control of the AVs by manipulating their data. In this paper, the state estimation process for monitoring AV dynamics, in presence of CP attacks...

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Vydané v:	Proceedings (IEEE Conference on Intelligent Transportation Systems) s. 307 - 312
Hlavní autori:	Ferdowsi, Aidin, Challita, Ursula, Saad, Walid, Mandayam, Narayan B.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.11.2018
Predmet:	Cameras Heuristic algorithms Radar Robustness Security Sensors Vehicle dynamics
ISBN:	9781728103211, 1728103215
ISSN:	2153-0017
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