首页> 外国专利> VISUAL POINT CLOUD-BASED SEMANTIC VECTOR MAP BUILDING METHOD, DEVICE, AND ELECTRONIC APPARATUS

VISUAL POINT CLOUD-BASED SEMANTIC VECTOR MAP BUILDING METHOD, DEVICE, AND ELECTRONIC APPARATUS

机译:基于视觉点云的语义矢量地图的构建方法,装置和电子设备

摘要

The present application discloses a visual point cloud-based semantic vector map building method, a visual point cloud-based semantic vector map building device, and an electronic apparatus. According to one embodiment, the visual point cloud-based semantic vector map building method comprises: performing object detection on an image acquired by an image acquisition apparatus, and acquiring pixel targets in the image and attribute information thereof; determining position information of each pixel target in the image; combining the attribute information and the position information of each pixel target, and generating a semantic point cloud; and building a semantic vector map on the basis of the semantic point cloud. The visual point cloud-based semantic vector map building method completes high-resolution map building at an extremely low cost simply by using images and a small amount of priori information of an external sensor.
机译:本申请公开了一种基于视点云的语义矢量地图构建方法,一种基于视点云的语义矢量地图构建装置和电子设备。根据一个实施例,基于视点云的语义矢量图构建方法包括:对由图像获取装置获取的图像进行对象检测,并获取图像中的像素目标及其属性信息;确定图像中每个像素目标的位置信息;结合每个像素目标的属性信息和位置信息,生成语义点云;在语义点云的基础上建立语义矢量图。基于视觉点云的语义矢量地图构建方法仅通过使用图像和少量外部传感器的先验信息即可以极低的成本完成高分辨率地图的构建。

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