The invention discloses a geomagnetic sensor-based model training method and a parking space detection method and system, and the method comprises the steps: collecting a geomagnetic field reference value mb at a parking space point, and enabling the reference value to be a geomagnetic field value when the parking space is not occupied; according to a preset time interval t, geomagnetic field change values at the parking space points are collected, and a first disturbance record table S1 is formed; performing data cleaning on the formed disturbance record table to judge whether the disturbance record table is valid or not, and storing the valid first disturbance record table into a training library; performing normalization processing on the disturbance record table in the training library; and training an AI model by using the normalized disturbance record table. According to the invention, the existing system architecture is not changed while the detection accuracy is ensured, the cost is low, and the product competitiveness is high.
本发明公开了一种基于地磁传感器的模型训练方法及车位检测方法、系统,该模型训练方法包括:采集车位点处的地磁场基准值mb,所述基准值为所述车位未被占用时的地磁场值;按照预设时间间隔△t,采集所述车位点处的地磁场变化值,形成第一扰动记录表S1;对形成的所述扰动记录表进行数据清洗以判定其是否有效,并将有效的第一扰动记录表存入训练库;将所述训练库中的扰动记录表进行归一化处理;利用所述归一化处理后的扰动记录表训练AI模型。本申请在保证检测准确率的同时不改变现有系统架构,成本低,产品竞争力强。
Model training method based on geomagnetic sensor and parking space detection method and system
基于地磁传感器的模型训练方法及车位检测方法、系统
2024-11-29
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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