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Computer Science > Robotics

Title: Redefining Safety for Autonomous Vehicles

Abstract: Existing definitions and associated conceptual frameworks for computer-based system safety should be revisited in light of real-world experiences from deploying autonomous vehicles. Current terminology used by industry safety standards emphasizes mitigation of risk from specifically identified hazards, and carries assumptions based on human-supervised vehicle operation. Operation without a human driver dramatically increases the scope of safety concerns, especially due to operation in an open world environment, a requirement to self-enforce operational limits, participation in an ad hoc sociotechnical system of systems, and a requirement to conform to both legal and ethical constraints. Existing standards and terminology only partially address these new challenges. We propose updated definitions for core system safety concepts that encompass these additional considerations as a starting point for evolving safe-ty approaches to address these additional safety challenges. These results might additionally inform framing safety terminology for other autonomous system applications.
Comments: 18 pages, SafeComp 2024 draft preprint
Subjects: Robotics (cs.RO); Artificial Intelligence (cs.AI)
Cite as: arXiv:2404.16768 [cs.RO]
  (or arXiv:2404.16768v2 [cs.RO] for this version)

Submission history

From: Philip Koopman [view email]
[v1] Thu, 25 Apr 2024 17:22:43 GMT (372kb)
[v2] Fri, 26 Apr 2024 11:30:24 GMT (378kb)

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