The invention discloses a self-learning vehicle moving method of a parking robot. The method comprises the following steps that: after a vehicle enters a parking lot, a binocular camera immediately completes vehicle information acquisition, and then sends the vehicle information to a background server of a system; and after receiving the vehicle information, the background server allocates parkingspaces to the user according to the current parking space situation of the current parking lot, and performs operation by using an algorithm similar to Dijkstra to determine the shortest driving pathof the parking robot. And the parking robot selects the model of the parking robot according to the vehicle information and the parking state information provided by the background server, and the angle, posture and position of the parking robot are automatically adjusted to complete forklift. A management system can predict the parking time length of the user at this time based on the previous parking data of the user, thereby facilitating a forklift and arranging a parking position in advance. The parking time of the user can be reduced, the parking space can be reasonably arranged according to the size of the vehicle model, and the reasonability and practicability of the parking space are remarkably improved.

    本发明公开了一种停车机器人自我学习搬车的方法,车辆进入停车场后,双目摄像头立刻完成车辆信息采集,随后向系统的后台服务器发送上述车辆信息;后台服务器接收到这些车辆信息后,会根据目前停车场的车位现状给用户分配车位,并利用类似Dijkstra的算法进行运算,确定停车机器人的最短行驶路径。停车机器人根据后台服务器提供的车辆信息以及停放状态信息,选择停车机器人的型号,自动调整停车机器人的角度、姿态、位置完成叉车。管理系统还会基于用户的既往停车数据预测用户此次停车的时间长度,方便叉车和提前安排停车位置。本发明能够减少用户的停车时间,还能根据车型的大小合理安排停车位,显著提高了车位的合理性和实用性。


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    Title :

    Self-learning car moving method of parking robot


    Additional title:

    一种停车机器人自我学习搬车的方法


    Contributors:
    JIA BAOHUA (author) / CHEN XINJIAN (author)

    Publication date :

    2020-12-04


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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