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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Veröffentlicht in:	Proceedings (IEEE Conference on Intelligent Transportation Systems) S. 307 - 312
Hauptverfasser:	Ferdowsi, Aidin, Challita, Ursula, Saad, Walid, Mandayam, Narayan B.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2018
Schlagworte:	Cameras Heuristic algorithms Radar Robustness Security Sensors Vehicle dynamics
ISBN:	9781728103211, 1728103215
ISSN:	2153-0017
Online-Zugang:	Volltext
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