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Sensor Simulation

High-fidelity synthetic data generation, grounded in physics and actors’ behaviors, to train and validate perception and E2E AI models in diverse conditions

Improve dataset richness with enriched and varied real-world environmental conditions

An integrated solution leveraging NVIDIA Omniverse and Cosmos Transfer

Real-World Variations

Create new and relevant variations of the recorded real-world drive logs for training and validation, reducing the dependency on costly physical driven miles

Improved variability and coverage while maintaining a high-level of realism

ODD Coverage

Generate targeted scenarios to validate the AI powered AV stack and increase testing to close coverage gaps

Accelerate expansion to new geographies with automatic generation of relevant scenarios and distributions

Edge Cases

Generate rare and dangerous scenarios safely in a virtual environment

Generate unscripted tests that expose high priority, unknown critical bugs that would have taken millions of driven miles to encounter

Improve productivity with automatic generation of realistic test and training scenarios

Automated Scenario Generation

Automatically generate diverse, valid, and critical test scenarios with randomized attributes such as locations, lanes, and actor behaviors

Replay simulation and real-world logs and generate behavior and physical variations to train and test scenarios optimized for user specifications

Reduced manual effort with a constrained-random test generator that ensures parameter consistency with system constraints and physics

Generate scenarios on new maps and ODDs with no change to abstract scenario definition

Closed-Loop Simulation

Use reactive actors to dynamically adapt scenario execution at runtime to ensure test conditions meet the intended scenario intent

Reduce manual inspection efforts and optimize compute resources by adjusting rich behavior models in response to AV stack actions

High-fidelity synthetic sensor simulation, grounded in physics and actors’ behaviors leveraging NVIDIA Omniverse and Cosmos Transfer

Abstract Scenario Libraries

Over 200 abstract scenarios for urban driving, highways and more, generating millions of concrete scenarios to accelerate AV development while maximizing productivity

Open Platform

Seamless integration with industry-leading simulators and proprietary test platforms to preserve existing investments

OpenSCENARIO DSL Support

Define abstract scenarios in a modular and reusable formatt using an industry-standard language

Enable seamless scenario reuse across maps, ODDs, and test environments while ensuring formal consistency in scenario parameters, constraints, and metrics

Explore Foretify Evaluate

Evaluate the AV stack’s performance, quality and safety by automatically unifying, fixing, curating and cleansing real-world drive and simulation data to identify relevant and valuable data, coverage gaps and unknowns

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