The invention relates to a pedestrian crossing trajectory tracking and predicting method based on a roadside laser radar, and belongs to the field of traffic safety, and the method comprises the following steps: (1) obtaining trajectory data; (2) preprocessing the trajectory data obtained in the step (1); (3) training an artificial neural network model through the track data preprocessed in the step (2); and (4) preprocessing to-be-predicted trajectory data, and inputting the preprocessed to-be-predicted trajectory data into the trained artificial neural network model to obtain a prediction result. According to the invention, on the basis of the roadside laser radar point cloud data, prediction of the intentions of pedestrians to cross the road or not cross the road at different positions is provided, compared with a traditional neural network model, the method has higher prediction precision, and the influence caused by possible failure of a vehicle-mounted sensing system when the vehicle-mounted sensing system is blocked by other vehicles and roadside objects is reduced.

    本发明涉及一种基于路侧激光雷达的行人过街轨迹追踪与预测方法,属于交通安全领域,步骤如下:(1)获取轨迹数据;(2)对步骤(1)获取的轨迹数据进行预处理;(3)通过步骤(2)预处理后的轨迹数据训练人工神经网络模型;(4)将待预测的轨迹数据预处理后输入训练后的人工神经网络模型,得到预测结果。本发明以路侧激光雷达点云数据为基础,提供行人在不同位置过马路/不过马路意图的预测,相比传统的神经网络模型具有更高的预测精度,减少车载传感系统在被其他车辆和路侧物体阻挡时可能会失效带来的影响。


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    Titel :

    Pedestrian crossing trajectory tracking and predicting method based on roadside laser radar


    Weitere Titelangaben:

    一种基于路侧激光雷达的行人过街轨迹追踪与预测方法


    Beteiligte:
    HOU FUJIN (Autor:in) / GUO XINMING (Autor:in) / WU JIANQING (Autor:in) / LI LINA (Autor:in) / GE LEIYU (Autor:in) / LI ZHOUYUAN (Autor:in) / WANG BING (Autor:in) / YANG ZILIANG (Autor:in)

    Erscheinungsdatum :

    2022-02-18


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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