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SYSTEMS AND METHODS FOR CAMERA-LIDAR FUSED OBJECT DETECTION WITH SEGMENT FILTERING

机译:基于分段滤波的相机-激光雷达融合目标检测系统和方法

摘要

Systems and methods for object detection. Object detection may be used to control autonomous vehicle(s). For example, the methods comprise: obtaining, by a computing device, a LiDAR dataset generated by a LiDAR system of autonomous vehicle; and using, by the computing device, the LiDAR dataset and image(s) to detect an object that is in proximity to the autonomous vehicle. The object is detected by performing the following operations: computing a distribution of object detections that each point of the LiDAR dataset is likely to be in; creating a plurality of segments of LiDAR data points using the distribution of object detections; merging the plurality of segments of LiDAR data points to generate merged segments; and detecting the object in a point cloud defined by the LiDAR dataset based on the merged segments. The object detection may be used by the computing device to facilitate at least one autonomous driving operation.
机译:目标检测系统和方法。目标检测可用于控制自主车辆。例如,所述方法包括:通过计算设备获取由自主车辆的激光雷达系统生成的激光雷达数据集;以及由计算设备使用激光雷达数据集和图像来检测靠近自主车辆的物体。通过执行以下操作来检测对象:计算LiDAR数据集的每个点可能位于的对象检测的分布;使用对象检测的分布创建多段激光雷达数据点;合并多个激光雷达数据点段以生成合并段;以及基于合并的分段在由激光雷达数据集定义的点云中检测对象。计算设备可以使用对象检测来促进至少一个自主驾驶操作。

著录项

  • 公开/公告号US2022129684A1

    专利类型

  • 公开/公告日2022-04-28

    原文格式PDF

  • 申请/专利权人 ARGO AI LLC;

    申请/专利号US202017078575

  • 申请日2020-10-23

  • 分类号G06K9;G06K9/62;B60W60;

  • 国家 US

  • 入库时间 2022-08-25 00:46:00

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