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Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving

2019-03-03
Krzysztof Czarnecki, Rick Salay

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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URL

http://arxiv.org/abs/1903.03438

PDF

http://arxiv.org/pdf/1903.03438


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