A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges

P McEnroe, S Wang, M Liyanage - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT)
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …

[HTML][HTML] Object tracking and detection techniques under GANN threats: A systemic review

SM Al Jaberi, A Patel, AN Al-Masri - Applied Soft Computing, 2023 - Elsevier
Current developments in object tracking and detection techniques have directed remarkable
improvements in distinguishing attacks and adversaries. Nevertheless, adversarial attacks …

Real-time and accurate drone detection in a video with a static background

U Seidaliyeva, D Akhmetov, L Ilipbayeva, ET Matson - Sensors, 2020 - mdpi.com
With the increasing number of drones, the danger of their illegal use has become relevant.
This has necessitated the creation of automatic drone protection systems. One of the …

Dogfight: Detecting drones from drones videos

MW Ashraf, W Sultani, M Shah - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
As airborne vehicles are becoming more autonomous and ubiquitous, it has become vital to
develop the capability to detect the objects in their surroundings. This paper attempts to …

Detection and recognition of drones based on a deep convolutional neural network using visible imagery

F Samadzadegan, F Dadrass Javan, F Ashtari Mahini… - Aerospace, 2022 - mdpi.com
Drones are becoming increasingly popular not only for recreational purposes but also in a
variety of applications in engineering, disaster management, logistics, securing airports, and …

Fast and robust UAV to UAV detection and tracking from video

J Li, DH Ye, M Kolsch, JP Wachs… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) technology is being increasingly used in a wide variety of
applications ranging from remote sensing, to delivery and security. As the number of UAVs …

Detection of a moving UAV based on deep learning-based distance estimation

YC Lai, ZY Huang - Remote Sensing, 2020 - mdpi.com
Distance information of an obstacle is important for obstacle avoidance in many
applications, and could be used to determine the potential risk of object collision. In this …

Bio-inspired video enhancement for small moving target detection

M Uzair, RSA Brinkworth, A Finn - IEEE Transactions on Image …, 2020 - ieeexplore.ieee.org
Moving targets at a very large distance from a camera appear small and of low contrast. The
low signal-to-noise-ratio and the presence of clutter in the background degrade the …

DeepVision: Enhanced drone detection and recognition in visible imagery through deep learning networks

HJ Al Dawasari, M Bilal, M Moinuddin, K Arshad… - Sensors, 2023 - mdpi.com
Drones are increasingly capturing the world's attention, transcending mere hobbies to
revolutionize areas such as engineering, disaster aid, logistics, and airport protection …

Fenceless Collision-Free Avoidance Driven by Visual Computation for an Intelligent Cyber–Physical System Employing Both Single-and Double-S Trajectory

HQT Ngo, H Nguyen, TP Nguyen - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Toward human is always one of the critical missions for any cyber physical system (CPS).
Autonomous robots perceive embarrassing behavior when treating humans as conventional …