Traffic Signal Relevance Verification Under Occlusion

The system segments the traffic signal monitoring task by tracking multiple individual traffic signal fixtures separately. Each fixture is monitored independently with its own status determination, allowing the system to handle occlusions or failures of individual fixtures without affecting overall reliability. The segmentation enables parallel monitoring of multiple fixtures to verify consistent status information.

The system implements feedback mechanisms by continuously monitoring the status of multiple traffic signal fixtures and comparing their readings. When discrepancies are detected between fixtures or when a fixture becomes occluded or inoperative, the system receives feedback and adjusts its determination of the applicable traffic signal status, ensuring reliable operation despite individual fixture failures.

The system divides the monitoring task into separate tracking modules for each traffic signal fixture, allowing independent status determination for each fixture. This segmentation enables the system to process multiple fixtures without requiring a complete system redesign, managing complexity through modular architecture.

The system monitors more traffic signal fixtures than the minimum one required, implementing excessive monitoring to ensure reliability. By tracking multiple fixtures beyond what is strictly necessary, the system gains redundancy that improves verification capability while managing complexity through selective processing of relevant fixtures.

The system applies local quality assessment by determining relevance values for each traffic signal fixture based on its specific characteristics and relationship to the ego vehicle. Each fixture is evaluated individually with criteria such as proximity, orientation, and visibility, allowing the system to distinguish between relevant and irrelevant signals and assign appropriate weights to each fixture's status information.

The system changes the parameter of relevance by introducing a relevance value metric that transforms the binary relevant/irrelevant classification into a continuous assessment. This parameter change enables nuanced differentiation of signal importance, allowing the system to prioritize fixtures with higher relevance values while still considering all detected fixtures for comprehensive information gathering.

The system performs preliminary verification of traffic signal status by monitoring multiple fixtures and their consistency before making driving decisions. This preliminary action involves checking whether multiple fixtures report the same status and verifying that at least one fixture is clearly visible and relevant, ensuring safety-critical verification is completed before the autonomous vehicle responds to the traffic signal.

The system implements partial verification by not requiring complete verification of all possible fixtures, but rather performing sufficient verification with a subset of relevant fixtures. This approach balances safety requirements with response time constraints by verifying only the most relevant fixtures rather than all detected signals, enabling timely responses while maintaining adequate safety checks.