The invention discloses an auxiliary parking method based on a visual navigation parking robot, and the method comprises the steps: firstly detecting an empty parking space based on a manual marking and convolutional neural network empty parking space detection model, enabling a parking robot to carry a to-be-parked vehicle, and enabling a cloud end to transmit the position information of a designated parking space to the parking robot; detecting a lane based on a lane line recognition detection algorithm of color space transformation, and enabling the robot to run according to a specific track; and finally, parking is realized through a camera of the robot. The system can assist the vehicle to complete efficient parking, improves the space utilization rate of parking, and reduces the cost at the same time.

    本发明公开了一种基于视觉导航停车机器人的辅助泊车方法,首先基于手工标注与卷积神经网络的空车位检测模型检测空车位,停车机器人承载待停车辆,云端将指定停车位的位置信息发送给停车机器人;然后基于色彩空间变换的识别车道线检测算法检测车道,实现机器人按照特定轨迹运行;最终通过机器人自身摄像头实现停车入位。本发明能够辅助车辆完成高效停车,提高了停车的空间利用率,同时降低了成本。


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    Title :

    Auxiliary parking method based on visual navigation parking robot


    Additional title:

    一种基于视觉导航停车机器人的辅助泊车方法


    Contributors:
    SHEN JUNGE (author) / MAO ZHAOYONG (author) / WU YINGLONG (author) / TAN HAOSHENG (author)

    Publication date :

    2023-08-29


    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 / E04H Gebäude oder ähnliche Bauwerke für besondere Zwecke , BUILDINGS OR LIKE STRUCTURES FOR PARTICULAR PURPOSES / G06V



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