Uber ATG Collaborates with Edge Case Research to Advance Self-Driving Vehicle Safety

Autonomous mobility relies on cutting edge engineering and artificial intelligence to drive safely. Less than twenty years ago, many self-driving vehicles could travel no faster than a walking pace. Fast forward to today, and you’ll find self-driving developers like Uber ATG working hand in hand with organizations like Edge Case Research to co-develop safety practices that enable test platforms to comfortably navigate streets without human intervention. However, even with this progress, a great deal of work still lies ahead for the industry. 

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Medium post

Safe Autonomy: UL 4600 and How It Grew

Underwriters Laboratories has completed — on schedule — its first standard for Autonomous Vehicles. Called UL 4600, it is published and now available at ULstandards.com. The UL group, which embarked on the ambitious task of drafting the standard only a year ago,...

Positive Trust Balance for Self Driving Car Deployment

Self-driving cars promise improved road safety. But every publicized incident chips away at confidence in the industry’s ability to deliver on this promise, with zero-crash nirvana nowhere in sight. We need a way to balance long term promise vs. near term risk when...

Media Mentions

The Road to AV Safety Has Potholes
AV tech companies are approaching safety in virtually the least safe way possible. We identified 5 things still missing in AV development practices.

EETimes

You Say Your AV Is Safe? Show Me
Credible claims of safety require proof. It won’t cut it for companies such as Waymo, Uber or GM to simply declare their vehicles are safe.

EETimes

Cheddar Rides- Autonomous Vehicles, Micro-Mobility
On Cheddar rides we talked to Professor Phil Koopman, Co-Founder & Chief Technology Officer, Edge Case Research about setting standards in the autonomous vehicle space.

Cheddar

Phil Koopman on Autonocast
As countless dead-end demos have proven, building the features and functionality of an autonomous drive system is far easier than creating a system that can reliably keep passengers safe in the chaos of a modern roadway.

Autonocast

Bias in AI: Impact on Safety
At Edge Case Research, we believe that artificial intelligence (AI) has the potential to make everyone safer. For example, in the future, the constant vigilance and superhuman reflexes of AI in self-driving cars could dramatically reduce accident rates.

EETimes

Coming soon to Pa. roads: Autonomous trains of semi trucks
The failure of the AV START Act in the United States Senate did more than just delay U.S. federal regulations for self-driving car technology that has yet to progress beyond the pilot-test stage.

Incline

AV Testing Advances Without Standards
The failure of the AV START Act in the United States Senate did more than just delay U.S. federal regulations for self-driving car technology that has yet to progress beyond the pilot-test stage.

Semiconductor Engineering

Can We Get Past Road Testing?
In assessing who’s ahead in the race to first commercially deploy AVs, companies, pundits and media have been using the number of hours each company spent on robocar testing on public roads as the yardstick.  

EE Times