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Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving

  • Krzysztof CzarneckiEmail author
  • Rick Salay
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11094)

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.

Keywords

Perception triangle Machine learning Safety assurance 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.University of WaterlooWaterlooCanada

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