Uber ATG collaborates with Edge Case Research to advance self-driving vehicle safety
Edge Case Research announced that it is working with Uber ATG to co-develop safety practices that enable test platforms to navigate streets without human intervention. According to the company, a great deal of work still lies ahead for the industry.
In 2019, Uber ATG published and open-sourced a first-of-its kind Safety Case Framework. A safety case, tailored from the safety case framework to achieve the goals of a program or product, includes a structured set of goals, argument, and evidence supporting the proposition that a self-driving car is acceptably safe for use in the real world. The use of a safety case does not mandate the use of any specific technology in creating the self-driving system. Safety cases are used in safety-critical applications such as aerospace, rail, nuclear, and even healthcare. But they also provide significant flexibility, which is critical for emerging autonomy technology. The flexibility of safety case argumentation allows work products from traditional functional safety standards to stand alongside claims about the safety of novel approaches, such as deep learning.
“We also recognize new or refined best practices may emerge over time, and we will consider these for incorporation into our Self Driving Vehicle (SDV) Safety Case Framework as they surface,” said Uber ATG’s Eric Meyhofer at the time of the company’s Safety Case Framework debut.
In the months since its release, Edge Case conducted a detailed review of Uber ATG’s safety case framework against UL 4600 with the goal of producing a new, refined version of the framework. To do this, the company draws on Uber ATG’s experience maturing its own SDVs, as well as its own experience providing safety engineering solutions across the autonomous vehicle industry, and the shared experience developing ANSI/UL 4600 and other voluntary industry standards.
New standards such as this provide guidelines for how self-driving vehicle manufacturers can evaluate their own safety cases in a consistent way. Beyond the static assessment of a safety case at a single point in time, these guidelines are intended to establish the continuous risk analysis of self-driving vehicle fleets. By monitoring industry-accepted safety performance indicators, Edge Case says it can also accomplish this in a way that protects developers’ sensitive and proprietary data. Continuous risk analysis will help provide the public with confidence in self-driving car technology and support smarter insurance underwriting in the future.
The companies say that the goal of the collaboration is to ensure that everyone stepping into a self-driving car gets a safe ride and that every self-driving vehicle traveling through neighborhoods is built safely from the ground up.
For more information, visit https://edge-case-research.com.