ADAS Sensor Validation Using Master Field-of-View Data

The patent creates virtual copies of real-world driving scenes using 3D modeling and rendering technologies. These synthetic scenes replicate complex environmental conditions, sensor viewpoints, and driving scenarios without requiring actual physical driving. The virtual environment serves as a copy that preserves the essential characteristics needed for validation while eliminating the time and resource costs of real-world testing.

The system performs preliminary validation by pre-generating comprehensive datasets of virtual driving scenes covering diverse conditions before actual deployment. By preparing extensive virtual test cases in advance, the system enables rapid validation of sensor systems without requiring time-consuming real-world driving campaigns. The pre-computed virtual data serves as a ready-to-use validation corpus.

Instead of physically reconfiguring sensors and performing real-world driving for each configuration change, the system uses virtual copying to generate validation datasets. The virtual environment allows rapid generation of test data for any sensor configuration through software-based parameter adjustments, maintaining measurement precision while dramatically increasing validation throughput by eliminating physical reconfiguration cycles.

The system validates different sensor configurations by changing virtual parameters in the simulated environment rather than physically modifying hardware. Sensor positions, fields of view, and configuration parameters are adjusted through software, allowing rapid iteration through multiple configurations. This parameter-based approach in the virtual domain preserves validation precision while enabling high-speed exploration of configuration space.

The virtual validation system serves multiple sensor configurations and vehicle types through a single unified platform. By implementing a generic virtual environment with configurable sensor models and flexible scene generation, the system can validate diverse sensor arrangements without requiring dedicated hardware for each configuration. This universal virtual framework provides adaptability to any sensor location while maintaining manageable system complexity.

The system employs dynamic, reconfigurable virtual sensor models that can be programmatically adjusted to represent different sensor locations, types, and configurations. Rather than using fixed physical sensors, the virtual sensors can be dynamically repositioned and reconfigured through software, enabling the same validation system to adapt to various sensor arrangements. This dynamic approach provides versatility without adding physical complexity.