The invention relates to an automobile parking space recognition system and method based on a convolutional neural network, in particular to the technical field of automobiles, and the system comprises an acquisition module which is used for carrying out the real-time acquisition of images around an automobile through a camera; the acquisition module is used for acquiring images, collected in real time, around the vehicle; the identification module is used for identifying the parking space state around the vehicle; the pushing module is used for pushing the parking state of the target parking space to an automobile central control screen and interacting with a user through the automobile central control screen; the control module is used for controlling the vehicle to be automatically parked in the target parking space; and the feedback module is used for feeding back the specified parking space to the control module and the pushing module until the parking state of the parking space specified again meets the automatic parking requirement. According to the automobile parking space recognition system and method based on the convolutional neural network, the parking space is recognized through the convolutional neural network, and the accuracy of automobile parking space recognition and the safety of automatic parking are improved.
本发明涉及一种基于卷积神经网络的汽车停车位识别系统和方法,尤其涉及汽车技术领域,包括采集模块,用以通过摄像头对车辆周边画面进行实时采集;获取模块,用以获取实时采集的车辆周边画面;识别模块,用以对车辆周边的车位状态进行识别;推送模块,用以将目标车位的泊车状态推送至汽车中控屏幕,通过汽车中控屏幕与用户进行交互;控制模块,用以控制车辆自动泊车至目标车位中;反馈模块,将指定车位反馈至控制模块和推送模块,直至再次指定车位的泊车状态满足自动泊车需求。本发明提供的基于卷积神经网络的汽车停车位识别系统和方法,通过卷积神经网络对车位进行识别提高了汽车停车位识别的精确度和自动泊车的安全性。
Automobile parking space recognition system and method based on convolutional neural network
一种基于卷积神经网络的汽车停车位识别系统和方法
2023-08-08
Patent
Elektronische Ressource
Chinesisch
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