Multi-scale vehicle target detection method suitable for highway monitoring scene

The invention discloses a multi-scale vehicle target detection method suitable for a highway monitoring scene, and belongs to the field of intelligent traffic. According to the vehicle target detection method, a YOLOv8 backbone network is improved on the basis of a ConvNeXt V2 network, and an SPD-Conv module and an SA-Conv module are introduced into the ConvNeXt V2 network, so that the multi-scale feature expression capability of a model is enhanced; secondly, a feature pyramid network HS-FPN is adopted to carry out fusion enhancement on a feature map extracted by the backbone network so as to cope with multi-scale detection of a vehicle target; and finally, carrying out classification and regression on the enhanced multi-scale feature map by adopting a detection head with a classification task and a regression task being mutually decoupled, and finally obtaining a detection result of the vehicle target. According to the method, the accuracy of multi-scale vehicle target feature extraction of the highway moni