Trajectory Planner Testing with Rule-Graph Safety Assessment

The patent creates virtual copies of driving scenarios through simulation environments. Instead of collecting vast quantities of real driving data, the system generates synthetic scenario data that replicates real-world driving conditions, allowing safety testing without actual road deployment. This copying approach dramatically reduces data collection time while maintaining safety validation effectiveness.

The patent performs preliminary safety validation through simulation before actual deployment. By pre-evaluating trajectory planners in virtual environments using rule-based safety models, the system identifies and corrects safety issues beforehand, reducing the need for extensive post-deployment data collection and accelerating the overall safety assurance process.

The patent implements a dynamic rule graph structure that can be reconfigured to adapt to different safety models. The system allows rules to be added, removed, or modified based on the specific safety model being evaluated, enabling flexible adaptation while maintaining the efficiency of simulation-based testing. This dynamic configuration capability resolves the contradiction between reduced data collection and model adaptability.

The patent creates a universal testing platform that can evaluate multiple different safety models through a common simulation infrastructure. The rule-based safety models are designed to be interchangeable within the same framework, allowing the system to maintain reduced data collection requirements while accommodating various safety assessment approaches through a single multi-functional platform.