Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving

Krzysztof Czarnecki; Rick Salay

doi:10.1007/978-3-319-99229-7_37

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arXiv · 1903.03438

Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving

Krzysztof Czarnecki·Rick Salay

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Abstract

Perception is a safety-critical function of autonomous vehicles and machine learning (ML) plays a key role in its implementation. This position paper identifies (1) perceptual uncertainty as a performance measure used to define safety requirements and (2) its influence factors when using supervised ML. This work is a first step towards a framework for measuring and controling the effects of these factors and supplying evidence to support claims about perceptual uncertainty.

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Krzysztof Czarnecki, Rick Salay. 2019-03-03. Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving. https://doi.org/10.1007/978-3-319-99229-7_37

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