Deep Neural Network Perception Models and Robust Autonomous Driving Systems
arXiv:2003.08756v1
AI Analysis
It tackles robustness challenges in autonomous driving systems, which is an incremental improvement for safety-critical applications.
The paper examines the robustness of deep learning models for autonomous driving and proposes practical solutions to address these issues, without specifying concrete numerical results.
This paper analyzes the robustness of deep learning models in autonomous driving applications and discusses the practical solutions to address that.