Safety Assurance for Autonomous Mobility (Dagstuhl Seminar 24071)

Authors Jyotirmoy Deshmukh, Bettina Könighofer, Dejan Ničković, Filip Cano and all authors of the abstracts in this report



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Author Details

Jyotirmoy Deshmukh
  • USC - Los Angeles, US
Bettina Könighofer
  • TU Graz, AT
Dejan Ničković
  • AIT - Austrian Institute of Technology - Wien, AT
Filip Cano
  • TU Graz, AT
and all authors of the abstracts in this report

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Jyotirmoy Deshmukh, Bettina Könighofer, Dejan Ničković, and Filip Cano. Safety Assurance for Autonomous Mobility (Dagstuhl Seminar 24071). In Dagstuhl Reports, Volume 14, Issue 2, pp. 95-119, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/DagRep.14.2.95

Abstract

This report documents the program and the outcomes of the Dagstuhl Seminar "Safety Assurance for Autonomous Mobility" (24071). The seminar brought together an interdisciplinary group of researchers and practitioners from the fields of formal methods, cyber-physical systems, and artificial intelligence, with a common interest in autonomous mobility. Through a series of talks, working groups, and open problem discussions, participants explored the challenges and opportunities associated with ensuring the safety of autonomous systems in various domains, including industrial automation, automotive, railways, and aerospace. Key topics addressed included the need for industrial-grade autonomous products to operate reliably in safety-critical environments, highlighting the lack of standardized procedures for obtaining safety certifications for AI-based systems. Recent advancements in the verification and validation (V&V) of autonomous mobility systems were presented, focusing on requirements verification, testing, certification, and correct-by-design approaches. Overall, the seminar provided a comprehensive overview of the current state and future directions in safe autonomous mobility, emphasizing the need for interdisciplinary collaboration and innovation to address the complex challenges in this rapidly evolving field.

Subject Classification

ACM Subject Classification
  • Applied computing → Transportation
  • Computer systems organization → Embedded and cyber-physical systems
  • Hardware → Robustness
  • Software and its engineering → Software verification and validation
Keywords
  • aerospace
  • automotive
  • autonomy
  • formal methods
  • railway

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