Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems

This article proposes an approach named SafeML II, which applies empirical cumulative distribution function-based statistical distance measures in a designed human-in-theloop procedure to ensure the safety of machine learning-based classifiers in autonomous vehicle software.