Safety Pool™ Database
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About
Safety Pool™ Database is a specialized scenario-based repository dedicated to the development and validation of Automated Driving Systems (ADS). Created through a joint effort between WMG at the University of Warwick and Deepen AI, the platform serves as a comprehensive library of driving scenarios that are used for ensuring autonomous vehicle safety. By providing a structured and searchable environment for these scenarios, it enables developers to test their systems against a vast array of real-world conditions, including complex maneuvers and rare edge cases that are difficult to capture during physical road testing. At its core, the tool provides specific search and management capabilities for scenario data. Users can navigate the database using specific tags or by defining Operational Design Domain (ODD) parameters, which categorize scenarios based on weather, road type, traffic density, and other environmental variables. The platform also includes a Storyline feature for 2D visualization, allowing users to understand the temporal progression of a scenario without needing to run a full simulation. For developers looking to automate their processes, the system offers API access to pull data directly into their simulation and testing pipelines. The platform is a resource for autonomous vehicle engineers, safety analysts, and policy makers who need structured, standardized data for vehicle certification and testing. It is useful for organizations that want to benchmark their performance against a diverse set of global driving conditions. By using the ODD documentation and definition tools provided, teams can ensure their testing methodologies are consistent with industry standards and regulatory requirements, fostering a more transparent and structured development ecosystem. What sets Safety Pool™ apart is its collaborative nature and academic foundation, which provides a level of rigor and objectivity for scenario datasets. The platform encourages the sharing of scenario knowledge, helping to establish a common language for autonomous safety across the industry. This reduces the requirement for individual companies to generate exhaustive internal datasets and contributes to the overall timeline for bringing autonomous technologies to market in a safer manner.
Pros & Cons
Search functionality includes detailed ODD-based filtering for precise scenario selection.
Provides 2D visualization to understand scenario dynamics before downloading.
Supports industry-standard API integrations for automated development workflows.
Developed in collaboration with leading academic and artificial intelligence organizations.
Offers a centralized repository for diverse and safety-critical driving scenarios.
Account registration is required to access specific scenario details and downloads.
Integration requires technical knowledge of the provided API and ODD standards.
Use Cases
Autonomous vehicle engineers can source edge-case scenarios to stress-test perception and planning algorithms in simulation.
Safety researchers can define new ODD parameters to standardize how autonomous systems are evaluated across different environments.
Regulatory bodies can leverage the scenario library to develop consistent safety benchmarks for AV certification.
Testing teams can automate the retrieval of specific scenarios via the API to streamline continuous integration pipelines.
Platform
Features
• api integration
• multi-partner collaboration
• knowledgebase access
• odd documentation
• scenario downloads
• 2d scenario visualization
• odd definition tools
• scenario search by tag
FAQs
How can I find specific scenarios in the Safety Pool™ Database?
Users can search for scenarios using specific tags or by defining Operational Design Domain (ODD) parameters. This allows for precise filtering based on environmental conditions and road types.
Does the platform support integration with external testing tools?
Yes, the Safety Pool™ Database provides an API to facilitate integration with existing development and testing stacks. Users can also download scenarios directly for use in simulation environments.
What is the purpose of the Scenario 2D Visualization feature?
The Storyline visualization tool allows users to preview scenarios in a 2D format before downloading them. This helps engineers understand the movement and interactions within a scenario quickly.
Can users create their own ODD definitions within the system?
The database includes specific tools for writing and documenting ODD definitions. This ensures that scenarios are categorized correctly and align with standardized autonomous safety frameworks.
Pricing Plans
Access Inquiry
Unknown Price• Scenario Search by Tag
• ODD-based Search
• 2D Scenario Visualization
• Scenario Downloads
• API Support
• ODD Definition Tools
Job Opportunities
There are currently no job postings for this AI tool.
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