  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.
