Autonomous Driving Scene Complexity Scoring for Safety Validation

The patent segments the scene assessment process into multiple independent components: scene data acquisition, complexity determination based on specific characteristics, and scoring. This segmentation allows for efficient processing of complicated scenarios by breaking them down into manageable assessment dimensions, thereby improving safety assessment accuracy without proportionally increasing testing time.

The patent performs preliminary characterization of scenes by determining complexity based on predefined characteristics before actual autonomous system testing. This preliminary action enables the selection and prioritization of critical test scenarios, allowing comprehensive safety assessment to focus on the most challenging scenes first, thus improving assessment accuracy while optimizing testing time allocation.

The assessment system is segmented into distinct functional modules: scene data processing, complexity characteristic determination, and scoring calculation. Each module handles specific aspects of the assessment independently, which improves measurement precision by dedicating specialized processing to each dimension while preventing system-wide complexity from becoming unmanageable.

The patent transforms the complex concept of scene complexity into measurable parameters and characteristics that can be systematically evaluated. By defining specific complexity characteristics and assigning scores based on these parameters, the system achieves high measurement precision while maintaining manageable system complexity through standardized parameter-based assessment.