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The largest scenario database for Automated Vehicles is now open to the public
September 22, 2022
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Safety Pool™, led by WMG at the University of Warwick and Deepen AI, launches major collaboration wi
September 9, 2021
A new globally accessible database of virtual road scenarios, Safety Pool, has been launched as a public initiative to enable autonomous vehicle (AV) testing and help inform policy and regulatory guidelines for automated driving systems.
March 31, 2021
The Safety PoolTM Scenario Database and its role in enabling efficient testing will not only provide insights into the safety and readiness of Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS), but will also help speed up the adoption of autonomous vehicles globally by providing the largest public scenario database in the world
The database provides a variety of driving scenarios that can be leveraged by governments, industry and academia alike to test and certify Automated Driving Systems (ADSs) and Advanced Driver Assistance Systems (ADAS), as well as to create policy and regulatory guidelines.
Testing robocars is challenging. Because they aren’t human level intelligences able to solve problems with advanced reasoning and thought, you end up needing to throw everything that you can think of that’s likely to happen at them, and make sure they perform well.
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