207   Artículos

 
en línea
Seyed Mohammad Hashemi, Ruxandra Mihaela Botez and Georges Ghazi    
Accurate aircraft trajectory prediction is fundamental for enhancing air traffic control systems, ensuring a safe and efficient aviation transportation environment. This research presents a detailed study on the efficacy of the Random Forest (RF) methodo... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Miguel-Ángel Fas-Millán, Andreas Pick, Daniel González del Río, Alejandro Paniagua Tineo and Rubén García García    
Within the framework of the European Union?s Horizon 2020 research and innovation program, one of the main goals of the Labyrinth project was to develop and test the Conflict Management services of a U-space-based Unmanned Traffic Management (UTM) system... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Farid Saemi and Moble Benedict    
Minimizing electric losses is critical to the success of battery-powered small unmanned aerial systems (SUASs) that weigh less than 25 kgf (55 lb). Losses increase energy and battery weight requirements which hinder the vehicle?s range and endurance. How... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
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 ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
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... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Shao Xuan Seah and Sutthiphong Srigrarom    
This paper explores the use of deep reinforcement learning in solving the multi-agent aircraft traffic planning (individual paths) and collision avoidance problem for a multiple UAS, such as that for a cargo drone network. Specifically, the Deep Q-Networ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Seyed Mohammad Hashemi, Ruxandra Mihaela Botez and Georges Ghazi    
This paper introduces an innovative consensus algorithm for managing Unmanned Aircraft System Traffic (UTM) through blockchain technology, a highly secure consensus protocol, to allocate airspace. A smart contract was developed on the Ethereum blockchain... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Filip ?kultéty, Erik Bujna, Michal Janovec and Branislav Kandera    
Revista: Drones    Formato: Electrónico

 
en línea
Anand George, Niko Koivumäki, Teemu Hakala, Juha Suomalainen and Eija Honkavaara    
Positioning of unoccupied aerial systems (UAS, drones) is predominantly based on Global Navigation Satellite Systems (GNSS). Due to potential signal disruptions, redundant positioning systems are needed for reliable operation. The objective of this study... ver más
Revista: Drones    Formato: Electrónico

 
en línea
Pappu Kumar Yadav, J. Alex Thomasson, Robert Hardin, Stephen W. Searcy, Ulisses Braga-Neto, Sorin C. Popescu, Roberto Rodriguez III, Daniel E. Martin, Juan Enciso, Karem Meza and Emma L. White    
Plastic shopping bags are often discarded as litter and can be carried away from roadsides and become tangled on cotton plants in farm fields. This rubbish plastic can end up in the cotton at the gin if not removed before harvest. These bags may not only... ver más
Revista: Agriculture    Formato: Electrónico

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