The invention discloses a parking space detection system based on deep learning, which belongs to the technical field of auxiliary parking, and comprises a vehicle-mounted terminal, a mobile terminal, an information acquisition module, an image processing module, a positioning module, a driving prediction module, a cascade monitoring module and a performance optimization module, the information collected by each sub-module is displayed in real time for a user to check; the parking space detection accuracy can be greatly improved, meanwhile, the optimal driving route of the vehicle can be displayed to the user more visually, it can be guaranteed that the user with low driving skill can drive the vehicle into the parking space safely, the user can use the vehicle conveniently, the driving requirement of the user is reduced, the timeliness of feedback of the vehicle-mounted terminal can be guaranteed, and the user experience is improved. Information asynchronization caused by lagging is avoided, the data feedback efficiency is effectively improved, and the waiting time of a user is saved.
本发明公开了一种基于深度学习的车位检测系统,属于辅助停车技术领域,包括车载终端、移动终端、信息采集模块、图像处理模块、定位模块、行驶预测模模块、级联监测模块以及性能优化模块,所述车载终端用于采集车辆周围环境信息,并实时显示各子模块采集信息以供用户查看;本发明能够大幅提高对车位检测准确性,同时更加直观的向用户展示车辆最佳行驶路线,能够保证驾驶技术不高的用户也能安全将车辆行驶进车位中,方便用户使用,降低用户驾驶要求,能够保证车载终端反馈的及时性,避免因为卡顿造成信息不同步,有效提高了数据反馈效率,节省用户等待时间。
Parking space detection system based on deep learning
一种基于深度学习的车位检测系统
2023-08-22
Patent
Electronic Resource
Chinese
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