Hazard and Safety Analysis of Machine-Learning-Based Perception Capabilities in Autonomous Vehicles

2024/10/15 by John Molloy, Sepeedeh Shahbeigi, John McDermid +1 · 7 citations
Computer Science · Engineering · Psychology · #Adversarial Robustness in Machine Learning #Aeronautics #Artificial intelligence #Autonomous Vehicle Technology and Safety #Computer science #Engineering #Hazard #Hazard analysis #Perception #Psychology #Reliability engineering

paper · doi:10.1109/mc.2024.3443751

published in Computer 57(11), 60-70 (IEEE Computer Society)

openalex publication_date 2024/10/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/25

Abstract

This article proposes an adapted safety analysis method tailored to autonomous systems perception systems. It rationalizes the selection of guidewords and demonstrates how results inform design and verification through partial analysis of a road vehicle, and discusses the broader role in a comprehensive safety process.

Cited by

• Probabilistic Safety Verification for an Autonomous Ground Vehicle: A Situation Coverage Grid Approach

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