Verification and validation (V&V) hold a significant position in the research and development
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …

Autonomous, or self-driving, cars are emerging as the solution to several problems primarily
caused by humans on roads, such as accidents and traffic congestion. However, those …

Artificial Intelligence (AI) can enable the development of next-generation autonomous safety-
critical systems in which Machine Learning (ML) algorithms learn optimized and safe …

The operational design domain (ODD) of an automated driving system (ADS) can be used to
confine the environmental scope of where the ADS is safe to execute. ODD acclimatization …

Self-evaluation and monitoring are critical components in autonomous driving applications,
especially for safety purposes, and yet there is no systematic framework to estimate the …

Perception modules in Autonomous Driving Systems (ADS) provide excellent performance
in simple, constrained environments but generally have precarious performance in real …

Modern data-driven perception systems accomplish excellent performance in a simple,
constrained environment but have unreliable detection in real, complex, and challenging …

Autonomous, or self-driving, cars are emerging as the solution to several problems primarily
caused by humans on roads, such as accidents and traffic congestion. However, those …