Augmented Driving Scenario Validation for Realistic Sensor Testing

The patent creates digital copies of real-world scenarios by recording actual driving environments and then digitally manipulating these recordings to generate multiple variant scenarios. This allows realistic test data to be reproduced and transformed without requiring additional real-world data collection efforts.

The patent systematically modifies parameters of recorded scenarios such as weather conditions, lighting, traffic conditions, and sensor characteristics to generate diverse test cases from a single real-world recording, thereby multiplying the utility of collected data without additional field work.

The patent enables dynamic adjustment of test parameters by allowing users to modify recorded scenarios post-capture. Test conditions such as weather, lighting, and traffic can be changed on-demand, providing both the realism of real recordings and the flexibility of controlled experimentation.

The patent separates the data collection phase from the scenario manipulation phase, allowing independent optimization of each. Real-world recordings capture authentic scenarios, while subsequent digital manipulation enables controlled variation of specific parameters without affecting the core realism of the base scenario.

The patent uses real-world recordings as the foundation for simulation, creating digitally manipulated copies that retain the authenticity of actual driving scenarios while enabling efficient repeated testing and parameter variation without additional real-world data collection.

The patent applies parameter changes to recorded scenarios to simulate various conditions (weather, lighting, traffic) that would be difficult or expensive to reproduce in reality, thereby enhancing the versatility and efficiency of simulation-based testing while maintaining realistic baseline data.