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Laser point cloud based urban road recognition method, device, storage medium and device

机译:基于激光点云的城市道路识别方法,装置,存储介质和装置

摘要

An embodiment of the present disclosure discloses a laser road cloud-based urban road recognition method and apparatus. The method comprises the steps of: building a corresponding roadside model based on a laser point cloud collected with a laser sensor; Determining the height of the mobile carrier on which the laser sensor is installed and constructing a corresponding road surface model based on the height and the laser point cloud; And removing the road surface point cloud and the roadside point cloud in the laser point cloud based on the roadside model and the road surface model, and performing segmentation on the remaining laser point cloud using a point cloud segmentation algorithm, and responding to the segmentation result. And recognizing the object to be. By estimating the height of the mobile carrier based on the laser point cloud and constructing a road surface model corresponding to the laser point cloud by using the height, the construction efficiency and accuracy of the road surface model can be improved, and the recognition efficiency and Improve accuracy.
机译:本公开的实施例公开了一种基于激光道路云的城市道路识别方法和装置。该方法包括以下步骤:基于由激光传感器收集的激光点云建立相应的路边模型;确定安装有激光传感器的移动载体的高度,并根据高度和激光点云构建相应的路面模型;然后根据路边模型和路面模型,在激光点云中去除路面点云和路边点云,并使用点云分割算法对剩余的激光点云进行分割,并对分割结果做出响应。并识别出物体。通过基于激光点云估计移动载体的高度并利用该高度构建与激光点云相对应的路面模型,可以提高路面模型的构造效率和精度,并提高识别效率和提高准确性。

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