The invention relates to a parking space identification method and device. The method comprises the following steps: extracting global semantic features and local semantic features contained in a parking lot image by using a target neural network model; the target parking space is an idle parking space for parking; based on prior parking space entrance information and local semantic features included in the target neural network model, adjusting the initial entrance corner information to obtain target entrance corner information; the priori parking space entrance information comprises a standard entrance corner point direction and a standard entrance width of a standard parking space; and marking the target entrance corner point direction and the target entrance width in the target parking space to guide the vehicle to park. According to the scheme, parking space entrance identification is performed by taking prior parking space entrance information as guidance, so that the calculation amount of the target neural network model is reduced, and the model reaches a real-time calculation speed; and moreover, the parking space entrance identification precision can be improved, and the problems of false parking space detection and inaccurate direction can be effectively avoided.
本发明涉及了一种停车位识别方法和装置,该方法包括:利用目标神经网络模型提取停车场图像包含的全局语义特征和局部语义特征;目标停车位为可用于停车的空闲停车位;基于目标神经网络模型中包括的先验停车位入口信息和局部语义特征,对初始入口角点信息进行调整,得到目标入口角点信息;先验停车位入口信息包括标准停车位的标准入口角点方向和标准入口宽度;将目标入口角点方向、目标入口宽度标注在目标停车位中,以引导车辆停车。本方案以先验停车位入口信息为指导进行停车位入口识别,减小了目标神经网络模型的计算量,使得模型达到实时的运算速度;并且,可以提高停车位入口识别精度,有效地避免停车位误检和方向不准确的问题。
Parking space identification method and device
一种停车位识别方法和装置
2022-12-20
Patent
Elektronische Ressource
Chinesisch
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