Israel: Foretellix, an Israel-based start-up with a mission to enable measurable safety of autonomous vehicles (AVs), and Metamoto, a provider of enterprise AV simulation solutions, has announced a partnership to deliver measurable safety of AVs.
The solution combines Foretellix’s Coverage Driven Methodology for comprehensive scenario variance generation and aggregation of coverage across tests and platforms with Metamoto’s highly scalable simulation platform to bring analytics, metrics and confidence to AV testing.
The complete design flow will be demonstrated at the Autonomous Vehicle Test & Development Symposium in Stuttgart from May 21 to May 23 at Hall 6, Stand 5070.
The design flow represents a combination of Foretellix’s recently announced Foretify coverage driven verification technology, and Metamoto’s Simulation as a Service offering, which includes scalable simulation (Director), GUI based scenario creation/vehicle configuration (Designer) and simulation replay/debugging (Analyzer) features.
Foretify includes a Measurable Scenario Description Language (M-SDL) used to describe both scenarios and coverage goals at a very high level, soon to be made open to enable a ‘measurable safety’ ecosystem. It also includes automation to generate combinations of combinations of scenario variants along with monitors to check and track scenario coverage.
Foretify also enables the aggregation of coverage data from the execution across all testing platforms (i.e. test vehicles, test tracks, different simulation environments and X-in-the-loop). Finally, analytics and metrics enable developers to know where they are, what to do next and when they are done.
Metamoto’s Simulation as a Service offering complements Foretify with its three components: Director, a scalable, parameterized simulator allowing for tests to run across a spectrum of environmental and hardware parameters and unique edge cases; Designer, a first-of-its-kind tool to custom build parameterized scenarios via a visual editor; and Analyzer, a comprehensive analysis tool to assess how a vehicle performed in specific simulations.