Improving Robustness of Semantic Segmentation for Autonomous Driving: A Case Study
Deep neural networks (DNNs) have achieved remarkable success in recent years and are increasingly integrated into safety-critical systems such as autonomous driving vehicles. However, when deployed in real-world environments, their robustness to common input corruptions remains a major challenge for safety assurance. C...