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Cloud-based autonomous driving robot system and operation and control method of autonomous driving robot

机译:基于云的自主驾驶机器人系统与自主驾驶机器人的操作与控制方法

摘要

A method of operation and control of an autonomous driving robot is disclosed. In the operation and control method of the autonomous driving robot, the autonomous driving robot includes a plurality of first images captured by a plurality of surveillance cameras, location information of each of the plurality of surveillance cameras, and each of the plurality of surveillance cameras. Receiving photographing direction information from a cloud server, wherein the autonomous driving robot moves a surveillance area under the control of the cloud server to generate a map for the surveillance area, and captures the surveillance area to capture a plurality of second images. The generating step, wherein the autonomous driving robot includes the plurality of first images, location information of each of the plurality of surveillance cameras, each of the plurality of surveillance cameras in order for the cloud server to determine blind spots in the surveillance area. Transmitting photographing direction information and the plurality of second images to the cloud server, and a movement path of the autonomous driving robot is preset in the monitoring area, and the cloud server is the autonomous driving robot in the blind spots. When it is determined that this is located, the autonomous driving robot includes the step of photographing the blind spots under the control of the cloud server, and the cloud server divides and divides a plurality of zones for the generated map. The IDs of the plurality of zones are initialized by assigning the same random number to all of the plurality of zones, and based on the location information of each of the plurality of surveillance cameras and the photographing direction information of each of the plurality of surveillance cameras, the When a plurality of first images and the plurality of second images are compared, and when each of the plurality of first images and each of the plurality of second images are similar by more than a certain ratio, For zones determined to be similar, IDs are set by assigning a number different from the random number, comparing the plurality of first images and the plurality of second images for all of the plurality of surveillance cameras, and the Checks whether IDs are set for all of the plurality of surveillance cameras and corresponding zones, and the plurality of surveillance for all of the plurality of surveillance cameras When it is confirmed that the IDs of the cameras and the corresponding zones are all set, the initialized IDs of the remaining zones are maintained as they are, and the remaining zones corresponding to the initialized IDs are determined as the blind spots.
机译:公开了一种自主驱动机器人的操作和控制方法。在自主驱动机器人的操作和控制方法中,自主驱动机器人包括由多个监视摄像头捕获的多个第一图像,多个监视摄像机中的每一个的位置信息以及多个监视摄像机中的每一个。从云服务器接收拍摄方向信息,其中自主驱动机器人在云服务器的控制下移动监视区域以生成监视区域的地图,并捕获监视区域以捕获多个第二图像。产生步骤,其中自主驱动机器人包括多个第一图像,多个监视摄像机中的每一个的位置信息,多个监视摄像机中的每一个,以便云服务器确定监视区域中的盲点。将拍摄方向信息和多个第二图像发送到云服务器,并且在监视区域中预设自动驱动机器人的移动路径,并且云服务器是盲区中的自主驱动机器人。当确定它所定位时,自主驱动机器人包括在云服务器的控制下拍摄盲点的步骤,并且云服务器划分并划分用于生成的地图的多个区域。通过将相同的随机数分配给所有多个区域,并且基于多个监视摄像机中的每一个的每个监视摄像头的拍摄方向信息的位置信息来初始化多个区域的ID。 ,比较多个第一图像和多个第二图像时,并且当多个第一图像中的每一个和多个第二图像中的每一个相似时,所确定的区域是相似的,通过分配与随机数不同的数字,比较多个监视摄像头的所有第一图像和多个第二图像来设置ID,并且检查是否为所有多个监视摄像机设置了ID。当确认摄像机和芯的IDS时,相应的区域,以及多个监视摄像机的多个监视响应区域全部设置,剩余区域的初始化ID保持,因为它们是,并且对应于初始化ID的剩余区域被确定为盲点。

著录项

  • 公开/公告号KR102247110B1

    专利类型

  • 公开/公告日2021-05-06

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020200124697

  • 申请日2020-09-25

  • 分类号G05D1/02;B25J19/02;B25J9/16;G05D1;H04N7/18;

  • 国家 KR

  • 入库时间 2022-08-24 18:46:24

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