The invention discloses a parking path planning method and system based on deep learning, relates to the technical field of deep learning, and improves the accuracy and safety of parking. A plurality of candidate parking spaces are matched, a plurality of candidate parking driving paths are set for each candidate parking space, the comprehensive scores of all the candidate parking driving paths are obtained, the comprehensive scores of all the candidate parking driving paths are compared, and the target parking space and the corresponding parking driving path are selected according to the comparison result. A parking driving path is discretized to obtain a plurality of path nodes, whether a demanded vehicle deviates from the parking driving path or not is judged according to the real-time driving angle and the current driving speed of the demanded vehicle when the demanded vehicle passes through each path node, and when the demanded vehicle reaches a target parking space, a multi-mode interaction instruction is generated and executed. And the vehicle is parked until the required vehicle is judged to be parked.

    本发明公开了一种基于深度学习的泊车路径规划方法与系统,涉及深度学习技术领域,提高了泊车的准确性和安全性。本发明通过匹配若干个候选泊车位,并对各个候选泊车位设置若干条候选泊车行驶路径,获取各条候选泊车行驶路径的综合评分,将各条候选泊车行驶路径的综合评分进行比对,根据比对结果选出目标泊车位以及相应泊车行驶路径,对泊车行驶路径进行离散化处理得到若干个路径节点,进而根据需求车辆经过各个路径节点时的实时行驶角度以及当前行驶速度,判断需求车辆是否偏离泊车行驶路径,当需求车辆到达目标泊车位时生成多模态交互指令并执行,直到判断需求车辆完成泊车为止。


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    Title :

    Parking path planning method and system based on deep learning


    Additional title:

    一种基于深度学习的泊车路径规划方法与系统


    Contributors:
    YANG FAN (author) / LI ZHENG (author)

    Publication date :

    2025-04-11


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion



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