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Dana Utebayeva, Lyazzat Ilipbayeva and Eric T. Matson
The detection and classification of engine-based moving objects in restricted scenes from acoustic signals allow better Unmanned Aerial System (UAS)-specific intelligent systems and audio-based surveillance systems. Recurrent Neural Networks (RNNs) provi...
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Ui-Jeong Lee, Sang-Jun Ahn, Dong-Young Choi, Sang-Min Chin and Dae-Sung Jang
As the usability of and demand for unmanned aerial vehicles (UAVs) have increased, it has become necessary to establish a UAS traffic management (UTM) system for efficient UAV operations at low altitudes. To avoid collisions with ground obstacles, other ...
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Huadong Li, Yiliang Liu, Daochun Li, Dawei Bie and Zi Kan
The marsupial unmanned aircraft system (UAS) consists of a large parent unmanned aerial vehicle (UAV) and multiple small children UAVs that can be launched and recovered in the air. The employment of marsupial UAS can expand the mission range of small UA...
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Eberechi Ichi, Faezeh Jafari and Sattar Dorafshan
Annotated datasets play a significant role in developing advanced Artificial Intelligence (AI) models that can detect bridge structure defects autonomously. Most defect datasets contain visual images of surface defects; however, subsurface defect data su...
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Ruohao Zhang, Jean-Philippe Condomines and Emmanuel Lochin
The rapid development of Internet of Things (IoT) technology, together with mobile network technology, has created a never-before-seen world of interconnection, evoking research on how to make it vaster, faster, and safer. To support the ongoing fight ag...
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Worasit Sangjan, Lynne A. Carpenter-Boggs, Tipton D. Hudson and Sindhuja Sankaran
Pasture management approaches can determine the productivity, sustainability, and ecological balance of livestock production. Sensing techniques potentially provide methods to assess the performance of different grazing practices that are more labor and ...
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Mariann Merz, Dário Pedro, Vasileios Skliros, Carl Bergenhem, Mikko Himanka, Torbjørn Houge, João P. Matos-Carvalho, Henrik Lundkvist, Baran Cürüklü, Rasmus Hamrén, Afshin E. Ameri, Carl Ahlberg and Gorm Johansen
Emerging precision agriculture techniques rely on the frequent collection of high-quality data which can be acquired efficiently by unmanned aerial systems (UAS). The main obstacle for wider adoption of this technology is related to UAS operational costs...
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Richard Hann, Adriana Enache, Mikkel Cornelius Nielsen, Bård Nagy Stovner, Jeroen van Beeck, Tor Arne Johansen and Kasper Trolle Borup
Atmospheric in-flight icing on unmanned aerial vehicles (UAVs) is a significant hazard. UAVs that are not equipped with ice protection systems are usually limited to operations within visual line of sight or to weather conditions without icing risk. As m...
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Robert Guirado, Joan-Cristian Padró, Albert Zoroa, José Olivert, Anica Bukva and Pedro Cavestany
This study provides an operational solution to directly connect drones to internet by means of 4G telecommunications and exploit drone acquired data, including telemetry and imagery but focusing on video transmission. The novelty of this work is the appl...
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Sugjoon Yoon, Dongcho Shin, Younghoon Choi and Kyungtae Park
In order to study air traffic control of UAS?s (Unmanned Aerial Systems) in very low altitudes, the UTM (UAS Traffic Management) simulator has to be as flexible and expandable as other research simulators because relevant technologies and regulations are...
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