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METHOD FOR GENERATION OF AN AUGMENTED POINT CLOUD WITH POINT FEATURES FROM AGGREGATED TEMPORAL 3D COORDINATE DATA, AND RELATED DEVICE

机译:具有聚合时间3D坐标数据的点特征的增强点云的方法,以及相关设备

摘要

A method for generation of an augmented point cloud with point features from aggregated 3D coordinate data and related device. The method comprises receiving a current point cloud in the form of 3D coordinate data in ego coordinates from one or more detection and ranging (DAR) devices of a vehicle. Features are extracted from the current point cloud. A previous point cloud is transformed into ego coordinates using a current location of the vehicle. Each point in the previous point cloud is transformed to align with a corresponding point in the current point cloud to generate a transformed point cloud. The current point cloud is aggregated with the transformed point cloud to generate an aggregated point cloud. The current point features are aggregated with the point features of the transformed point cloud to generate aggregated point features.
机译:一种从聚合3D坐标数据和相关设备生成具有点特征的增强点云的方法。 该方法包括从自我的3D坐标数据的形式接收来自车辆的一个或多个检测和测距(DAR)设备的3D坐标数据形式的当前点云。 从当前点云提取功能。 前一云使用车辆的当前位置转换为自我坐标。 上一点云中的每个点被转换为与当前点云中的对应点对齐以生成变换的点云。 当前点云与转换的点云聚合以生成聚合点云。 当前点特征与变换点云的点特征聚合以生成聚合点特征。

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