The invention provides a traffic jam detection method and device, electronic equipment and a storage medium. Relates to the technical field of artificial intelligence. The traffic jam detection method comprises the steps of obtaining point cloud data of a target scene, the point cloud data being obtained through a millimeter wave radar sensor; clustering the point cloud data to obtain an initial point cloud cluster; performing noise elimination on the initial point cloud cluster according to an intra-cluster point cloud speed variance to obtain a vehicle point cloud cluster; and according to the number of the point cloud clusters of the vehicle point cloud clusters and the average speed of the point cloud clusters, whether traffic jam occurs in the target scene is determined. According to the invention, the accuracy of traffic jam detection can be improved.
本公开提供一种交通拥堵检测方法、装置、电子设备及存储介质;涉及人工智能技术领域。所述交通拥堵检测方法包括:获取目标场景的点云数据,其中,所述点云数据是通过毫米波雷达传感器得到的;对所述点云数据进行聚类以得到初始点云簇;根据簇内点云速度方差对所述初始点云簇进行噪声剔除以得到车辆点云簇;根据所述车辆点云簇的点云簇数目及点云簇平均速度判断所述目标场景是否发生交通拥堵。本公开可以提升交通拥堵检测的准确性。
Traffic jam detection method and device, electronic equipment and storage medium
交通拥堵检测方法、装置、电子设备及存储介质
2023-06-23
Patent
Electronic Resource
Chinese
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