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Farhad Samadzadegan, Farzaneh Dadrass Javan, Farnaz Ashtari Mahini and Mehrnaz Gholamshahi
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 others. In addition to their useful applications, an alarming concern...
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Fatma S. Alrayes, Saud S. Alotaibi, Khalid A. Alissa, Mashael Maashi, Areej Alhogail, Najm Alotaibi, Heba Mohsen and Abdelwahed Motwakel
Unmanned Aerial Vehicles (UAVs), or drones, provided with camera sensors enable improved situational awareness of several emergency responses and disaster management applications, as they can function from remote and complex accessing regions. The UAVs c...
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Simiao Ren, Jordan Malof, Rob Fetter, Robert Beach, Jay Rineer and Kyle Bradbury
Solar home systems (SHS), a cost-effective solution for rural communities far from the grid in developing countries, are small solar panels and associated equipment that provides power to a single household. A crucial resource for targeting further inves...
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John R. Ballesteros, German Sanchez-Torres and John W. Branch-Bedoya
Drone imagery is becoming the main source of overhead information to support decisions in many different fields, especially with deep learning integration. Datasets to train object detection and semantic segmentation models to solve geospatial data analy...
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Zhihan Xue and Tad Gonsalves
Research on autonomous obstacle avoidance of drones has recently received widespread attention from researchers. Among them, an increasing number of researchers are using machine learning to train drones. These studies typically adopt supervised learning...
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?imon Grác, Peter Beno, Franti?ek Duchon, Martin Dekan and Michal Tölgyessy
The objective of this article is to propose and verify a reliable detection mechanism of multi-rotor unmanned aerial vehicles (UAVs). Such a task needs to be solved in many areas such as in the protection of vulnerable buildings or in the protection of p...
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