The invention provides a traffic scene evaluation system. The evaluation system comprises a perception complexity measurement module; the perception complexity measurement module is configured to obtain point cloud data corresponding to scene frames in a traffic scene; processing the point cloud data by using the trained Gaussian mixture network detection model to obtain the perception complexity of the scene frame; the perception complexity comprises any uncertainty and cognitive uncertainty; the Gaussian mixture network detection model comprises a target detection sub-model and a Gaussian mixture network sub-model, and the target detection sub-model is used for performing feature extraction on the point cloud data to obtain a feature map corresponding to the point cloud data and obtaining a classification result of a target object in the scene frame based on the feature map; the Gaussian mixture network sub-model is used for performing detection frame regression on the feature map to obtain Gaussian mixture distribution of bounding box parameters of a detection frame corresponding to the target object, and the perception complexity of the scene frame is calculated according to the Gaussian mixture distribution of the bounding box parameters of the detection frame.
本发明提供一种交通场景的评估系统,该评估系统包括:感知复杂度度量模块;感知复杂度度量模块被配置为获取与交通场景中场景帧对应的点云数据;利用训练好的混合高斯网络检测模型对点云数据进行处理而得到场景帧的感知复杂度;感知复杂度包括任意不确定性和认知不确定性;混合高斯网络检测模型包括目标检测子模型和混合高斯网络子模型,目标检测子模型用于对点云数据进行特征提取而得到与点云数据对应的特征图以及基于特征图而得到场景帧中目标物体的分类结果;混合高斯网络子模型用于对特征图进行检测框回归而得到与目标物体对应的检测框的边界框参数的混合高斯分布,根据检测框的边界框参数的混合高斯分布而计算得到场景帧的感知复杂度。
Traffic scene evaluation system
一种交通场景的评估系统
2024-02-27
Patent
Electronic Resource
Chinese
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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