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A critical review on unmanned aerial vehicles power supply and energy management: Solutions, strategies, and prospects
MN Boukoberine, Z Zhou, M Benbouzid - Applied Energy, 2019 - Elsevier
The interest in electric unmanned aerial vehicles (UAVs) is rapidly growing in recent years.
The reason is that UAVs have abilities to perform some difficult or dangerous tasks, with high …
The reason is that UAVs have abilities to perform some difficult or dangerous tasks, with high …
A comprehensive review of applications of drone technology in the mining industry
J Shahmoradi, E Talebi, P Roghanchi, M Hassanalian - Drones, 2020 - mdpi.com
This paper aims to provide a comprehensive review of the current state of drone technology
and its applications in the mining industry. The mining industry has shown increased interest …
and its applications in the mining industry. The mining industry has shown increased interest …
Unmanned aerial vehicles (UAVs): A survey on civil applications and key research challenges
H Shakhatreh, AH Sawalmeh, A Al-Fuqaha, Z Dou… - Ieee …, 2019 - ieeexplore.ieee.org
The use of unmanned aerial vehicles (UAVs) is growing rapidly across many civil
application domains, including real-time monitoring, providing wireless coverage, remote …
application domains, including real-time monitoring, providing wireless coverage, remote …
Vehicle detection from UAV imagery with deep learning: A review
A Bouguettaya, H Zarzour, A Kechida… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicle detection from unmanned aerial vehicle (UAV) imagery is one of the most important
tasks in a large number of computer vision-based applications. This crucial task needed to …
tasks in a large number of computer vision-based applications. This crucial task needed to …
[HTML][HTML] Deep learning approach for car detection in UAV imagery
N Ammour, H Alhichri, Y Bazi, B Benjdira, N Alajlan… - Remote Sensing, 2017 - mdpi.com
This paper presents an automatic solution to the problem of detecting and counting cars in
unmanned aerial vehicle (UAV) images. This is a challenging task given the very high …
unmanned aerial vehicle (UAV) images. This is a challenging task given the very high …
Vehicle detection in aerial images based on region convolutional neural networks and hard negative example mining
T Tang, S Zhou, Z Deng, H Zou, L Lei - Sensors, 2017 - mdpi.com
Detecting vehicles in aerial imagery plays an important role in a wide range of applications.
The current vehicle detection methods are mostly based on sliding-window search and …
The current vehicle detection methods are mostly based on sliding-window search and …
Mini-unmanned aerial vehicle-based remote sensing: Techniques, applications, and prospects
The past few decades have witnessed great progress for unmanned aerial vehicles (UAVs)
in civilian fields, especially in photogrammetry and remote sensing. In contrast with manned …
in civilian fields, especially in photogrammetry and remote sensing. In contrast with manned …
Fast multiclass vehicle detection on aerial images
K Liu, G Mattyus - IEEE Geoscience and Remote Sensing …, 2015 - ieeexplore.ieee.org
Detecting vehicles in aerial images provides important information for traffic management
and urban planning. Detecting the cars in the images is challenging due to the relatively …
and urban planning. Detecting the cars in the images is challenging due to the relatively …
Toward fast and accurate vehicle detection in aerial images using coupled region-based convolutional neural networks
Z Deng, H Sun, S Zhou, J Zhao… - IEEE Journal of Selected …, 2017 - ieeexplore.ieee.org
Vehicle detection in aerial images, being an interesting but challenging problem, plays an
important role for a wide range of applications. Traditional methods are based on sliding …
important role for a wide range of applications. Traditional methods are based on sliding …
Machine learning for uav-aided its: A review with comparative study
Unmanned Aerial Vehicles (UAVs) have immense potential to enhance Intelligent Transport
Systems (ITS) by aiding in real-time traffic monitoring, emergency response, and …
Systems (ITS) by aiding in real-time traffic monitoring, emergency response, and …