An improved YOLOv8 for foreign object debris detection with optimized architecture for small objects

J Farooq, M Muaz, K Khan Jadoon, N Aafaq… - Multimedia Tools and …, 2024 - Springer
Abstract Automated Foreign Object Debris (FOD) detection offers significant benefit to the
aviation industry by reducing human error and enabling continuous surveillance. This paper …

Towards optimal foreign object debris detection in an airport environment

M Noroozi, A Shah - Expert Systems with Applications, 2023 - Elsevier
Foreign object debris (FOD) can critically damage aircraft engines as well as injure
personnel in an airport environment. Airfield inspectors routinely inspect runways for the …

MAEDAY: MAE for few-and zero-shot AnomalY-Detection

E Schwartz, A Arbelle, L Karlinsky, S Harary… - Computer Vision and …, 2024 - Elsevier
Abstract We propose using Masked Auto-Encoder (MAE), a transformer model self-
supervisedly trained on image inpainting, for anomaly detection (AD). Assuming anomalous …

[HTML][HTML] A Review of Foreign Object Debris Detection on Airport Runways: Sensors and Algorithms

J Shan, L Miccinesi, A Beni, L Pagnini, A Cioncolini… - Remote Sensing, 2025 - mdpi.com
The detection of Foreign Object Debris (FOD) is crucial for maintaining safety in critical areas
like airport runways. This paper presents a comprehensive review of FOD detection …

A pixel-wise foreign object debris detection method based on multi-scale feature inpainting

Y **g, H Zheng, W Zheng, K Dong - Aerospace, 2022 - mdpi.com
In the aviation industry, foreign object debris (FOD) on airport runways is a serious threat to
aircraft during takeoff and landing. Therefore, FOD detection is important for improving the …

Foreign object debris (fod) classification through material recognition using deep convolutional neural network with focus on metal

SM Zainab, K Khan, A Fazil, M Zakwan - IEEE Access, 2023 - ieeexplore.ieee.org
Foreign object debris (FOD) is any undesired and unintended object placed or found in the
specific vicinity of an aircraft (runway/taxiway) that can cause damage to aircraft or harm …

Foreign object debris detection for airport pavement images based on self-supervised localization and vision transformer

T Munyer, D Brinkman, X Zhong… - 2022 International …, 2022 - ieeexplore.ieee.org
Supervised object detection methods provide subpar performance when applied to Foreign
Object Debris (FOD) detection because FOD could be arbitrary objects according to the …

Automatic Detection and Predictive Geolocation of Foreign Object Debris on Airport Runway

Z Niu, J Zhang, Z Li, X Zhao, X Yu, Y Wang - IEEE Access, 2024 - ieeexplore.ieee.org
The detection and removal of Foreign Object Debris (FOD) on airport runway present
significant challenges due to the small objects and the range of complex weather conditions …

Randomize to generalize: domain randomization for runway FOD detection

J Farooq, N Aafaq, M Khan, A Saleem… - arxiv preprint arxiv …, 2023 - arxiv.org
Tiny Object Detection is challenging due to small size, low resolution, occlusion, background
clutter, lighting conditions and small object-to-image ratio. Further, object detection …

Bidirectional YOLO: improved YOLO for foreign object debris detection on airport runways

M Ren, W Wan, Z Yu, Y Zhao - Journal of Electronic Imaging, 2022 - spiedigitallibrary.org
Foreign object debris (FOD) on airport runways has always been a major problem in
maintaining airport security. Currently, there are two main challenges in FOD detection …