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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| Published in: | Proceedings (IEEE Conference on Intelligent Transportation Systems) pp. 307 - 312 |
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| Main Authors: | , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01.11.2018
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| Subjects: | |
| ISBN: | 9781728103211, 1728103215 |
| ISSN: | 2153-0017 |
| Online Access: | Get full text |
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