Sensor Recognition Feedback Loop for Autonomous Driving Accuracy

The patent implements a feedback mechanism where the processing unit determines whether abstract data from sensors is consistent with the real situation by comparing it with actual traffic scenario data. When inconsistency is detected, the processing unit sends feedback information to the sensor, which then adjusts its recognition algorithm parameters. This closed-loop feedback system resolves the contradiction by enabling continuous optimization of recognition accuracy while maintaining efficient data processing through automated algorithm adjustment.

The patent introduces a processing unit as an intermediary between sensors and the central control system. This intermediary handles the complex tasks of determining data consistency, generating feedback information, and coordinating algorithm optimizations. By offloading these complex functions to a dedicated intermediary component, the system achieves improved recognition accuracy without proportionally increasing the complexity of individual sensor units, thus resolving the contradiction between accuracy improvement and system complexity.