Automated Hint Generator for Autonomous Driving Test Validation

The patent applies preliminary action by generating and executing test sequences before actual real-world testing. The automated test sequence generation creates virtual test scenarios that pre-validate system responses to critical driving situations, allowing developers to identify and fix issues before costly real-world testing begins. This reduces the number of real-world test kilometers needed while maintaining validation reliability.

The patent uses copying by creating virtual copies of real-world driving scenarios through automated test sequence generation. Instead of directly testing every possible real-world situation, the system generates simulated test sequences that replicate critical driving conditions, allowing validation in a virtual environment before proceeding to expensive real-world testing.

The patent applies dynamics by making the test sequence generation adaptive and dynamic. The system automatically adjusts test sequences based on observed system behavior during testing, dynamically generating new test cases when critical situations are detected or when coverage gaps are identified. This ensures comprehensive test coverage while avoiding redundant executions of already-tested scenarios, optimizing resource utilization.

The patent uses feedback mechanisms where test execution results are automatically analyzed and fed back into the test sequence generation process. When critical events or unusual situations are detected during testing, the system generates additional targeted test sequences to thoroughly validate those specific scenarios. This feedback-driven approach ensures complete coverage of critical situations without unnecessarily increasing overall resource consumption.

The patent applies self-service by implementing automated evaluation of simulation results. The test sequence generation and execution system automatically analyzes simulation outputs, detects critical events, and determines whether test objectives are met without requiring manual intervention. This maintains measurement precision through systematic automated evaluation while dramatically increasing testing productivity by eliminating manual review processes.

The patent replaces manual mechanical evaluation processes with automated computational systems. Instead of human experts manually reviewing simulation results, the system uses automated algorithms to evaluate test outcomes, detect critical situations, and generate follow-up test sequences. This substitution maintains evaluation precision through consistent automated criteria while enabling parallel processing of multiple test scenarios, thereby increasing productivity.