[2404.16502] A Prototypical Expert-Driven Approach Towards Capability-Based Monitoring of Automated Driving Systems
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Electrical Engineering and Systems Science > Systems and Control

arXiv:2404.16502 (eess)
[Submitted on 25 Apr 2024 (v1), last revised 29 Jul 2024 (this version, v2)]

Title:A Prototypical Expert-Driven Approach Towards Capability-Based Monitoring of Automated Driving Systems

Authors:Richard Schubert, Cedrik Kaufmann, Marcus Nolte, Markus Maurer
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Abstract:Supervising the safe operation of automated vehicles is a key requirement in order to unleash their full potential in future transportation systems. In particular, previous publications have argued that SAE Level 4 vehicles should be aware of their capabilities at runtime to make appropriate behavioral decisions. In this paper, we present a framework that enables the implementation of an online capability monitor. We derive a graphical system model that captures the relationships between the quality of system elements across different architectural views. In an expert-driven approach, we parameterize Bayesian Networks based on this structure using Fuzzy Logic. Using the online monitor, we infer the quality of the system's capabilities based on technical measurements acquired at runtime.
Comments: Accepted for 27th IEEE International Conference on Intelligent Transportation Systems
Subjects: Systems and Control (eess.SY)
Cite as: arXiv:2404.16502 [eess.SY]
  (or arXiv:2404.16502v2 [eess.SY] for this version)
  https://doi.org/10.48550/arXiv.2404.16502

Submission history

From: Richard Schubert [view email]
[v1] Thu, 25 Apr 2024 10:52:28 UTC (2,632 KB)
[v2] Mon, 29 Jul 2024 07:33:08 UTC (2,633 KB)
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