Towards Robust Direct Perception Networks for Automated Driving

Overview

The approach incorporates tolerated output error into regression-network loss and robustness criteria. Symbolic propagation of bounded intermediate-layer perturbations supports training, demonstrated on direct perception of the ego-lane center in images.