The invention relates to the technical field of automobiles, in particular to an urban road parking space identification method and system based on deep learning. An urban road parking space identification method based on deep learning comprises the following steps: firstly, determining a parking space detection mode; the parking space detection modes are divided into two modes, namely a conventional parking space searching mode and a road shoulder temporary parking mode; the conventional parking space searching mode calculates the parking space of each potential available parking position through various sensing functions of parking line recognition, ultrasonic radar ranging and traffic object recognition in combination with parking space calculation; according to the road shoulder temporary parking mode, a view blind area is scanned, the position of a traffic object is given, and avoiding operation can be conducted on a target close to the traffic object. During temporary parking on the road shoulder, nearby traffic signs are scanned so as to judge whether temporary parking is allowed on the road section or not. The problems that parking spaces which are not standard enough are wasted, and temporary parking requirements are met are solved.
本发明涉及汽车的技术领域,更具体地,涉及一种基于深度学习的城市道路停车位识别方法及系统。一种基于深度学习的城市道路停车位识别方法,其中,包括以下步骤:首先确定停车位检测模式;停车位检测模式分为两种,分别是常规停车位寻找模式和路肩临时停靠模式;所述的常规停车位寻找模式通过识别停车线,超声波雷达测距,交通对象识别多种感知功能,结合停车空间计算,计算每一个潜在可供停车位置的停车空间;所述的路肩临时停靠模式通过扫描视野盲区,并给出交通对象的位置,对于距离较近的目标会进行避让操作;在路肩临时停车时,扫描附近的交通标志,从而判断该路段是否允许临时停车。本发明解决不够规范的停车位被浪费和临时停靠需求的问题。
Urban road parking space identification method and system based on deep learning
一种基于深度学习的城市道路停车位识别方法及系统
2022-05-06
Patent
Electronic Resource
Chinese
IPC: | G06V / G01S RADIO DIRECTION-FINDING , Funkpeilung / G06K Erkennen von Daten , RECOGNITION OF DATA / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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