The missing link: Developing a safety case for perception components in automated driving. (arXiv:2108.13294v4 [cs.LG] UPDATED)

Safety assurance is a central concern for the development and societal
acceptance of automated driving (AD) systems. Perception is a key aspect of AD
that relies heavily on Machine Learning (ML). Despite the known challenges with
the safety assurance of ML-based components, proposals have recently emerged
for unit-level safety cases addressing these components. Unfortunately, AD
safety cases express safety requirements at the system level and these efforts
are missing the critical linking argument needed to integrate safety
requirements at the …

arxiv case components driving perception safety