[HTML][HTML] AERO: AI-enabled remote sensing observation with onboard edge computing in UAVs

A Koubaa, A Ammar, M Abdelkader, Y Alhabashi… - Remote Sensing, 2023 - mdpi.com
Unmanned aerial vehicles (UAVs) equipped with computer vision capabilities have been
widely utilized in several remote sensing applications, such as precision agriculture …

Deep learning for unmanned aerial vehicle-based object detection and tracking: A survey

X Wu, W Li, D Hong, R Tao, Q Du - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …

AI-enabled object detection in UAVs: challenges, design choices, and research directions

A Jain, R Ramaprasad, P Narang, M Mandal… - IEEE …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are emerging as a powerful tool for various industrial and
smart city applications. UAVs coupled with various sensors can perform many cognitive …

[HTML][HTML] Design and implementation of a UAV-based airborne computing platform for computer vision and machine learning applications

A Douklias, L Karagiannidis, F Misichroni, A Amditis - Sensors, 2022 - mdpi.com
Visual sensing of the environment is crucial for flying an unmanned aerial vehicle (UAV) and
is a centerpiece of many related applications. The ability to run computer vision and …

[HTML][HTML] FastUAV-net: A multi-UAV detection algorithm for embedded platforms

A Yavariabdi, H Kusetogullari, T Celik, H Cicek - Electronics, 2021 - mdpi.com
In this paper, a real-time deep learning-based framework for detecting and tracking
Unmanned Aerial Vehicles (UAVs) in video streams captured by a fixed-wing UAV is …

Vision-based moving UAV tracking by another UAV on low-cost hardware and a new ground control station

E Çintaş, B Özyer, E Şimşek - IEEE Access, 2020 - ieeexplore.ieee.org
Automatic flying target detection and tracking in video sequences acquired from a camera
mounted on another Unmanned Aerial Vehicle (UAV) is a challenging task due to the …

Embedded UAV real-time visual object detection and tracking

P Nousi, I Mademlis, I Karakostas… - … Conference on Real …, 2019 - ieeexplore.ieee.org
The use of camera-equipped Unmanned Aerial Vehicles (UAVs, or “drones”) for a wide
range of aerial video capturing applications, including media production, surveillance …

Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark

BKS Isaac-Medina, M Poyser… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to
both negligent and malicious use. For this reason, the automated detection and tracking of …

Towards visible and thermal drone monitoring with convolutional neural networks

Y Wang, Y Chen, J Choi, CCJ Kuo - APSIPA Transactions on Signal …, 2019 - cambridge.org
This paper reports a visible and thermal drone monitoring system that integrates deep-
learning-based detection and tracking modules. The biggest challenge in adopting deep …

[HTML][HTML] Object detection and tracking with UAV data using deep learning

AA Micheal, K Vani, S Sanjeevi, CH Lin - Journal of the Indian Society of …, 2021 - Springer
UAVs have been deployed in various object tracking applications such as disaster
management, traffic monitoring, wildlife monitoring and crowd management. Recently …