Self-Driving Cars Test Traditional Procedures - Digital Engineering

This article by Beth Stackpole is a very good overview of the challenges of validating autonomous vehicle safety - and not just because we were interviewed for it and quoted in it. The article goes into the various challenges to autonomous vehicle testing and validation, something we've wrote about before.

One important addition that is outside of the scope of the article: it's not just a challenge for autonomous vehicles.  Pretty much every safety- and mission-critical embedded software system is being challenged with complexity and uncertainty. Simulation tools are an important piece of ensuring that the deployment of such vehicles are fast, safe, and secure.

We are building a scalable solution to address this complexity based on our 20 years of robustness testing experience.  This was briefly mentioned in the article, that we will discuss more openly soon.

Article link:

You have the potential for millions of combinations that the algorithm may not have learned yet, and each represents a gap in the knowledge of the pedestrian detector, a software error, and a potential safety hazard.
— Michael Wagner, CEO and founder of Edge Case Research
What we’re doing at a software level is addressing the stuff that doesn’t happen often to make sure the system doesn’t trip when it sees something weird. This kind of testing provides confidence that all the failure modes that might happen have been explored … and it’s helpful to pair [the practice] with simulation testing.
— Phil Koopman, ECR co-founder and Chief Technical Officer

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