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<p>The unmanned aerial vehicle (UAV) detection system using infrared imaging demonstrates robust performance in both daytime and night time conditions. Although infrared sensor technology and UAV detection algorithms have been extensively studied, the identification of small UAVs in complex scenes remains a significant challenge. In this paper, we propose the YOLOv11n-UAV model, an enhanced version of YOLOv11n, incorporating two specialized detection heads for ultra-small targets and upgrading two feature extraction modules at the input stage. These modifications aim to enhance detection accuracy while maintaining high inference speed. Experimental results indicate that the proposed YOLOv11n-UAV model surpasses state-of-the-art methods in UAV detection using infrared imagery, particularly in complex outdoor environments. This study contributes to UAV surveillance and countermeasure systems, a field that is gaining increasing global attention.</p>

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YOLOv11n-UAV: improved YOLOv11n model for detecting small UAVs using infrared images on complex backgrounds

  • 期刊论文

  • 发表日期：

    2025年5月29日

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  • Phat T. Nguyen,
  • Long H. Nguyen

摘要

The unmanned aerial vehicle (UAV) detection system using infrared imaging demonstrates robust performance in both daytime and night time conditions. Although infrared sensor technology and UAV detection algorithms have been extensively studied, the identification of small UAVs in complex scenes remains a significant challenge. In this paper, we propose the YOLOv11n-UAV model, an enhanced version of YOLOv11n, incorporating two specialized detection heads for ultra-small targets and upgrading two feature extraction modules at the input stage. These modifications aim to enhance detection accuracy while maintaining high inference speed. Experimental results indicate that the proposed YOLOv11n-UAV model surpasses state-of-the-art methods in UAV detection using infrared imagery, particularly in complex outdoor environments. This study contributes to UAV surveillance and countermeasure systems, a field that is gaining increasing global attention.