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METHOD AND SYSTEM FOR CLASSIFYING OBJECTS IN A PERCEPTION SCENE GRAPH BY USING A SCENE-DETECTION-SCHEMA
METHOD AND SYSTEM FOR CLASSIFYING OBJECTS IN A PERCEPTION SCENE GRAPH BY USING A SCENE-DETECTION-SCHEMA
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机译:通过场景检测模式对感知场景图中的对象进行分类的方法和系统
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摘要
A method and system is provided for using a scene detection schema for classifying objects in a perception scene graph for a motor vehicle. The scene detection schema includes collecting sensor information about an area surrounding the vehicle, including capturing an image of the area; processing the sensor information to generate a perception scene graph (PSG); detecting a plurality of objects by analyzing the captured image; comparing the detected objects with reference objects; classifying the detected objects based on matching reference objects; and assigning a priority to each of the classified objects. The steps of detecting and classifying objects having higher priorities are reiterated with a greater frequency than objects having lower priorities. An object is assigned a higher priority level if the object is in a focus region of the PSG. The fidelity of the focus region is increased by updating the classification of the objects after each reiteration.
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