Research on the improved YOLOv8 algorithm for the detection of surrounding parking spaces
To locate parking spaces more quickly and accurately,this paper proposes an improved YOLOv8 algorithm for around view monitor (AVM) image.First,a Faster Block structure is designed based on partial convolution,replacing the Bottleneck structure of C3 module and C2F module respectively.A lighter C3-Faster module is selected to replace the YOLOv8 C2F module in Central Plain.Then,Coordinate Attention layer is added at the end of YOLOv8 backbone network to enhance the model feature extraction capability.Finally,Eiou is introduced as a loss function to improve the detection accuracy of the model.The model accuracy,recall rate,mAP@0.5 and mAP@0.5:0.95 reach 87.6％,87.6％,93.1％ and 62.0％ respectively,up by 1.5％,1.4％,1.6％ and 1％ compared with the data of the original YOLOv8n model.The parameters,floating-point computation and model size are down by 27％,24％ and 25％ respectively.
parking detectionYOLOv8C3-Fastercoord attattention mechanismEIoU loss
国家科技期刊平台
NSTL
万方数据
