Apr 01, 2021

Revolutionising Automated Driving Systems with Safety Pool

AI
autonomous driving
Machine Learning
Safety pool
Oliver Freeman
3 min
Deepen AI and WMG, alongside the University of Warwick, have now launched Safety Pool™ Scenario Database to enhance automated and assisted driving systems
Deepen AI and WMG, alongside the University of Warwick, have now launched Safety Pool™ Scenario Database to enhance automated and assisted driving sys...

Today, Deepen AI and WMG, in collaboration with the University of Warwick, announced the launch of the Safety Pool™ Scenario Database. The database is long-awaited and will provide a variety of driving scenarios that can be leveraged by academia, governments, and industries to both test and certify upcoming Automated Driving Systems (ADSs) and Advanced Driver Assistance Systems (ADAS). The system will also help in the creation of policies and regulatory guidelines as the world continues to move towards automated driving norms and AI-controlled vehicles. 

A Brief Factfile 

  • It’s generally accepted that autonomous vehicles have to be tested for a minimum of 11 billion miles before they can be deemed ‘road-ready’. 
  • To make 11 billion miles a viable reality, it is necessary that some of these miles are performed in virtual road scenarios ─ which Deepen AI and WMG at the University of Warwick have created a global database for. 
  • The Safety Pool™ Scenario Database will not only provide insights into the safety readiness of ADAS and ADS but also assist in hastening the global adoption of autonomous vehicles, which is classed as a necessity in our bid to outpace the ruin of Earth. 

Michelle Avary of the World Economic Forum shared her thoughts on the announcement this morning, stating that "We are thrilled to work closely with Deepen AI and WMG, University of Warwick to launch the Safety Pool™ Scenario Database. We believe Safety Pool™ is going to play a crucial role in standardising and bringing transparency to ADSs certification globally. We look forward to partnering with countries to adopt ADS certification frameworks based on Safety Pool™ Scenario Database.” 

“The Safety Pool™ Scenario Database lays a key foundation stone for autonomous vehicle safety quantification," said Mohammad Musa, CEO & Co-founder of Deepen AI. "We are working closely with governments across the world to create a framework for ADS certification that will take OEMs one giant step closer to getting autonomous vehicles on the roads."

The Safety Pool™ Mission 

Right now, there’s a lot of speculation around cars with automated driving and assistance features; many lack faith in AI and technology and would rather maintain full control of a vehicle themselves. As a result, the Safety Pool™ intends to put peoples minds at rest. With the support of The World Economic Forum, the initiative is simple in theory yet difficult in practice: to unite the growing autonomous vehicle community to make ADSs safer. The movement will look to build new frameworks, infrastructures, and processes that will be shared with industry leaders, academics, and policymakers worldwide to ensure that, going forward, autonomous vehicles systems undergo transparent testing, validation, and certification. 

According to Siddartha Khastgir, from WMG, University of Warwick: "Safety of automated driving systems is a hard research challenge and can only be solved by national and international collaboration and knowledge sharing. With the launch of Safety Pool™, we are inching closer to seeing automated driving systems on the roads. Testing and validating automated driving systems transparently in an integrated simulation-based framework and in real-world scenarios will not only provide insights into the readiness of ADS but also speed up the adoption globally. We are excited to be at the forefront of this revolution."

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