The Hidden Data Challenges for Autonomous Trucking Safety

Forget millions of test miles—it’s about the *right* miles.

Empiric Earth’s Luc Vincent reveals why current autonomous vehicle testing falls short and how collecting rare, dangerous real-world events is crucial for true self-driving safety.

As autonomous trucking expands and debates intensify over CDL requirements and carrier safety scores, there is no equivalent evaluation standard for the software systems replacing human drivers.

The company has collected 10 billion miles of real-world driving data, focusing on rare events such as near misses, debris, and extreme weather that simulation cannot replicate.

U.S. highway fatalities occur only once per 100 million miles, underscoring how much data is needed to validate autonomous systems against the most dangerous edge cases.