From Neuron Coverage to Steering Angle: Testing Autonomous Vehicles Effectively

A deep neural network (DNN)-based system is a black box of complex interactions, resulting in a classification or prediction. We investigate the use of realistic transformations to create new images for testing a trained autonomous vehicle DNN as well as their impact on neuron coverage.