Examples of AI Quality and Safety Implementation within Autonomous Vehicle Perception

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Examples of AI Quality and Safety Implementation within Autonomous Vehicle Perception

Event: AutoSens USA

| Session date: Thursday 12th June

Session date: Thursday 12th June

, 2025

Hear from:

Krzysztof Pennar

Principal Engineer in Safety Case Development,

Torc

Krzysztof Pennar

Principal Engineer in Safety Case Development,

Torc

Robust AI quality and safety mechanisms are critical for mitigating risks in autonomous vehicle perception pipelines. This paper introduces a three-layered framework for AI safety and quality, informed by ISO 24001 and ISO 8800 standards. The framework addresses risks across the AI lifecycle, from data curation to runtime monitoring, with each layer identifying distinct classes of failure modes and requiring targeted mitigation strategies.