Safety Pool™: Advancing Certifiable Autonomous Vehicle Safety

Safety Pool™ is a pioneering global initiative driving transparency, validation, and certification in automated driving systems (ADS) through a shared technology platform. Developed by Deepen AI in collaboration with WMG, University of Warwick, and supported by the World Economic Forum’s Safe Drive Initiative, it offers a comprehensive, simulation-ready Scenario Database with 100,000 curated driving scenarios sourced from expert knowledge, accident data, and real-world observations. The platform enables industry partners, researchers, and governments to exchange, test, benchmark, and validate safety-critical systems across diverse Operational Design Domains (ODD), using standardized taxonomies like BSI PAS 1883 and ASAM Open ODD. With support for distributed simulation, integration with platforms like CARLA, and a tokenized incentive system for scenario sharing, Safety Pool™ accelerates the development of safer, more trustworthy autonomous vehicles. It empowers stakeholders to co-create policy frameworks and regulatory standards, fostering a collaborative ecosystem grounded in safety, transparency, and inclusion.

Key Features:

• Safety Pool™ Scenario Database: A global, public repository of 100,000 simulation-ready driving scenarios.
• ODD-Based Scenario Tagging: Scenarios are categorized using BSI PAS 1883 ODD Taxonomy and ASAM Open ODD standard for precise domain alignment.
• Scenario Exchange & Sharing: A tokenized, incentive-based system enables secure and transparent sharing of safety-critical scenarios across stakeholders.
• Simulation-Ready & Platform-Agnostic: Scenarios are compatible with major simulation platforms such as CARLA and others.
• Real-World Route Linking: Allows mapping of virtual scenarios to actual physical driving routes for enhanced realism.
• Distributed Simulation Support: Enables environment generation, test case planning, and execution across distributed systems.
• Test Tracks Aggregator: Connects to real-world test facilities globally for end-to-end validation.
• Policy & Regulatory Guidance: Provides insights to help governments develop ODD-based certification frameworks and region-specific assessments.
• Early Access via Demo Program: Users can participate in a live demo to explore the platform before full rollout.
• Two-Level Scenario Description Language (SDL): Designed for accessibility across technical and non-technical stakeholders.
• Collaborative Ecosystem: Bridges industry, academia, and policymakers to co-develop safer autonomous driving standards.

Pricing: Safety Pool™ offers a credit-based access model, with early access available through a demo program. While specific pricing tiers are not disclosed, the credit system suggests a freemium or usage-based approach, making it accessible for initial exploration and scalable for advanced use.

Conclusion: Safety Pool™ is a transformative force in autonomous vehicle safety, offering a trusted, open, and standardized platform that unites global stakeholders in advancing the future of safe, certified self-driving technology.