An improved YOLOv8 for foreign object debris detection with optimized architecture for small objects
Abstract Automated Foreign Object Debris (FOD) detection offers significant benefit to the
aviation industry by reducing human error and enabling continuous surveillance. This paper …
aviation industry by reducing human error and enabling continuous surveillance. This paper …
MAEDAY: MAE for few-and zero-shot AnomalY-Detection
Abstract We propose using Masked Auto-Encoder (MAE), a transformer model self-
supervisedly trained on image inpainting, for anomaly detection (AD). Assuming anomalous …
supervisedly trained on image inpainting, for anomaly detection (AD). Assuming anomalous …
[HTML][HTML] Hp-yolov8: high-precision small object detection algorithm for remote sensing images
G Yao, S Zhu, L Zhang, M Qi - Sensors, 2024 - mdpi.com
YOLOv8, as an efficient object detection method, can swiftly and precisely identify objects
within images. However, traditional algorithms encounter difficulties when detecting small …
within images. However, traditional algorithms encounter difficulties when detecting small …
A compatible detector based on improved YOLOv5 for hydropower device detection in AR inspection system
Recent advancements in computer vision and augmented reality (AR) technology have
created a pathway for enhanced human–computer interaction. Despite the potential …
created a pathway for enhanced human–computer interaction. Despite the potential …
[HTML][HTML] A Review of Foreign Object Debris Detection on Airport Runways: Sensors and Algorithms
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 …
like airport runways. This paper presents a comprehensive review of FOD detection …
A systematic review of radar technologies for surveillance of foreign object debris detection on airport runway
Flights are projected to reach eight billion globally by 2037, demanding airport operators
manage operations effectively, including safety on the runway due to the high number of …
manage operations effectively, including safety on the runway due to the high number of …
Small-Scale Foreign Object Debris Detection Using Deep Learning and Dual Light Modes
Y Mo, L Wang, W Hong, C Chu, P Li, H **a - Applied Sciences, 2024 - mdpi.com
The intrusion of foreign objects on airport runways during aircraft takeoff and landing poses
a significant safety threat to air transportation. Small-scale Foreign Object Debris (FOD) …
a significant safety threat to air transportation. Small-scale Foreign Object Debris (FOD) …
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 …
significant challenges due to the small objects and the range of complex weather conditions …
[HTML][HTML] Alzheimer's Multiclassification Using Explainable AI Techniques
In this study, we address the early detection challenges of Alzheimer's disease (AD) using
explainable artificial intelligence (XAI) techniques. AD, characterized by amyloid plaques …
explainable artificial intelligence (XAI) techniques. AD, characterized by amyloid plaques …
Randomize to generalize: domain randomization for runway FOD detection
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 …
clutter, lighting conditions and small object-to-image ratio. Further, object detection …