Target Recognition System Using Map Data for Excessive Detection

The system performs preliminary actions by predicting the future position and speed of recognized targets before conducting excessive detection assessment. The prediction unit calculates where a target should be at a future time point based on current recognition data, and this predicted information is used as a reference to quickly determine if new detections are valid or excessive, thereby reducing assessment time while maintaining accuracy

The patent introduces map information as an intermediary element to facilitate rapid excessive detection determination. By comparing detected target positions with map data (such as road boundaries, sidewalks, and no-parking zones), the system can quickly identify excessive detections without conducting complex cross-device comparisons, thus improving processing speed while maintaining recognition accuracy

The excessive detection determination process is segmented into distinct functional units: a prediction unit that handles position and speed prediction, and a determination unit that handles excessive detection assessment. This segmentation allows each unit to specialize in specific tasks, reducing overall processing complexity while maintaining comprehensive detection accuracy through coordinated operation of multiple specialized components

Map information serves as an intermediary that simplifies the comparison process between multiple sensor elements. Instead of directly comparing all sensor data against each other, the system uses map data as a reference framework to independently evaluate each detection, reducing processing complexity while maintaining detection accuracy through the mediating role of geographic information