Method and system for allowing vehicles to give way to pedestrians through light neural network model edge end cross recognition

The invention discloses a light neural network model edge end cross identification-based method and system for a vehicle to give way to pedestrians, and belongs to the technical field of identification of vehicle to give way to pedestrians. Comprising the following steps: S1, a vehicle-mounted pavement video collector of a bus video collection system collects three groups of image data of a zebra crossing-free image D1, a zebra crossing-free pedestrian D2 and a zebra crossing-free pedestrian D3 in a driving process; s2, carrying out image preprocessing on the collected image data; s3, training a zebra crossing identification model by using the negative sample (D2 + D3) and the positive sample D1, and identifying a pedestrian on the zebra crossing by using the positive sample D3 and the negative sample D2; s4, when the vehicle-mounted camera does not detect the zebra crossing on the road, only the zebra crossing identification model is kept for monitoring, and when the zebra crossing on the road surface is det