preprintDagstuhl Research Online Publication ServerJan 1, 2020GREEN OA

Towards a Reliable and Context-Based System Architecture for Autonomous Vehicles

KTKain, TobiasMPMundhenk, PhilippQVQuoc V. LeTHTompits, HansWMWesche, Maximilian

Volkswagen Group (Germany) · TU Wien

Indexed indatacite

Abstract

Full vehicle autonomy excludes a takeover by passengers in case a safety-critical application fails. Therefore, the system responsible for operating the autonomous vehicle has to detect and handle failures autonomously. Moreover, this system has to ensure the safety of the passengers, as well as the safety of other road users at any given time. Especially in the initial phase of autonomous vehicles, building up consumer confidence is essential. Therefore, in this regard, handling all failures by simply performing an emergency stop is not desirable. In this paper, we introduce an approach enabling a dynamic and safe reconfiguration of the autonomous driving system to handle occurring hardware and software…

Citation impact

845
total citations
FWCI
75.76
Percentile
100%
References
22
Citations per year

Authors

6

Topics & keywords

Keywords
  • Reinforcement learning
  • Computer science
  • Reinforcement
  • Combinatorial optimization
  • Artificial intelligence
  • Psychology
  • Algorithm
  • Social psychology
UN Sustainable Development Goals
  • Sustainable cities and communities
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