The Safety PoolTM Scenario Database, the largest public repository of scenarios for testing autonomous vehicles in the world — led by WMG at the University of Warwick and Deepen AI —will now be used in China, thanks to a new partnership with Automotive Data of China, a subsidiary of the China Automotive Technology and Research Center (CATARC).
Margot James, Executive Chair and Dave Greenwood, Professor of Advanced Propulsion Systems from WMG, at the University of Warwick, were delighted today (15 July 2021), to be invited to the official opening of the UK Battery industrialisation Centre by The Rt Hon Boris Johnson MP, Prime Minister - bringing to reality a vision first set out by WMG in 2016.
The use of low speed automated driving systems can contribute to reduction of congestion and carbon emissions all over the world, however the enrolment of such systems has been hampered by the lack of safety standards, until now; as an international group of experts led by WMG, University of Warwick working as part of an ISO technical committee have published the first international safety standard for level 4 automated driving systems.
The University of Warwick is not just backing today’s CBI report ‘Greener Miles: Delivering on a net-zero vision for commuting’ – which calls on businesses to shoulder greater responsibility for ensuring their workers adopting greener travel habits – it has already taken action with a two year extensive programme to cut personal car use on campus and therefore reduce emissions.
World’s largest public scenario database for testing and assuring safe Autonomous Vehicle deployments
The Safety PoolTM Scenario Database, the largest public repository of scenarios for testing autonomous vehicles in the world, has been launched today by WMG at the University of Warwick, and Deepen AI.