Quantifying learning algorithm uncertainties in autonomous driving systems: Enhancing safety through Polynomial Chaos Expansion and High Definition maps
Published in Accident Analysis & Prevention, 2025
This work addresses uncertainty quantification and safety enhancement for learning-enabled autonomous driving systems.
Recommended citation: R. Zhang, C. Sun, M. Ning, R. Valiollahimehrizi, Y. Lu, K. Czarnecki, and A. Khajepour. "Quantifying learning algorithm uncertainties in autonomous driving systems: Enhancing safety through Polynomial Chaos Expansion and High Definition maps." Accident Analysis & Prevention, 211, 107903, 2025.