Live Detection of Foreign Object Debris on Runways Detection using Drones and AI
Author:
Affiliation:
1. School of Electrical Engineering and Robotics, Queensland University of Technology (QUT),Brisbane,QLD,Australia,4000
2. Aspect UAV Imaging,Peregian Beach,QLD,Australia,4573
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9843190/9843194/09843697.pdf?arnumber=9843697
Reference26 articles.
1. UAV and AI Application for Runwar Foreign Object Debris (FOD) Detection;papadopoulos;2021 IEEE Aerospace Conference,0
2. Bottle Detection in the Wild Using Low-Altitude Unmanned Aerial Vehicles
3. Autonomous, Onboard Vision-Based Trash and Litter Detection in Low Altitude Aerial Images Collected by an Unmanned Aerial Vehicle
4. What is a Capture Card for Streaming and How to Use One;heckmann;Studio,2020
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1. Robust FOD Detection using Frame Sequence-based DEtection TRansformer (DETR);2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25
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3. Deep Learning Based Foreign Object Debris (FOD) Detection on Runway;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05
4. Synthetic Aperture Radar Aboard an Unmanned Aerial System for Detecting Foreign Object Debris on Airport Runways;IEEE Access;2024
5. Holistic FOD Detection Via Surface Map and Yolo Networks;2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP);2023-09-17
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