航空工程进展2025，Vol.16Issue(2)：70-78,9.DOI:10.16615/j.cnki.1674-8190.2025.02.08
基于ECIOU结构嵌入YOLO的塔台视角目标检测
Tower view object detection based on ECIOU structure embedded in YOLO
摘要
Abstract
In view of the problems that the existing tower view target detection system is prone to large positioning deviation and low small target detection accuracy,this paper proposes an aircraft target detection method based on the ECIOU structure embedded in the YOLO v8 model from the tower view to improve the accuracy and efficiency of detection.Based on the traditional YOLO v8 model,the CBAM module is first added to enhance the discrim-inability of target features.Then,the GConv and SENet attention mechanisms are introduced to optimize the Bot-tleneck structure to enhance its feature extraction ability.Thirdly,the ECIOU Loss is used to replace the original CIOU loss function to improve its detection performance in complex environments.Lastly,the small target detec-tion head PWHead is reconstructed to better capture the details of small targets.The model is evaluated on the Ro-boflow public dataset and its performance is compared with other mainstream models.The experimental results show that the accuracy of the improved YOLO v8 is 90.2%,and the average precision mean is 86.9%,which is 2.2%and 1.3%higher than that of YOLO v8n respectively,and the detection efficiency is improved.关键词
YOLO v8/飞行安全/远程塔台/目标检测/图像处理Key words
YOLO v8/flight safety/remote tower/target detection/image processing引用本文复制引用
钱基德,严浩,梁琰,曾昶畅,牟忆豪..基于ECIOU结构嵌入YOLO的塔台视角目标检测[J].航空工程进展,2025,16(2):70-78,9.基金项目
民航飞行技术与飞行安全重点实验室项目(FZ2022ZX59,FZ2022KF03) （FZ2022ZX59,FZ2022KF03）
