Efficient Black-box Assessment of Autonomous Vehicle Safety

Understand

While autonomous vehicle (AV) technology has shown substantial progress, we still lack tools for rigorous and scalable testing.

• Real-world testing, the $\textit{de-facto}$ evaluation method, is dangerous to the public.
• Moreover, due to the rare nature of failures, billions of miles of driving are needed to statistically validate performance claims.
• Thus, the industry has largely turned to simulation to evaluate AV systems.