Safety Pool™ Scenario Database
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About
The Safety Pool™ Initiative, founded by Deepen AI and WMG, University of Warwick, aims to unite stakeholders (industry, academia, policymaking) in a transparent, certifiable safety ecosystem for Automated Driving Systems (ADS). Their primary tool is the Safety Pool™ Scenario Database, a curated collection of driving scenarios for exchange, research, testing, and benchmarking. This database informs policy and regulatory guidelines. The initiative also focuses on distributed simulation, enabling environment generation, test case planning and execution, and aggregation of testing platforms and real-world test tracks. Ultimately, Safety Pool™ supports unlocking ADS certification by assisting with building a Safety Evidence Argument and performing necessary analysis. The initiative boasts a strong steering committee and partnerships with prominent organizations such as the World Economic Forum and Transport Canada.
Platform
Task
Features
• scenario database
• harmonized approaches to research and regulatory development
• development of cutting edge certification frameworks
• exchange of testing and validation scenarios
• transparent testing and benchmarking of adss
• safety evidence argument
• ads certification
• distributed simulation
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