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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...
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Ran Zhang, Lei Cao, Yiqing Liu, Ru Guo, Junjie Luo and Ping Shu
Old residential communities are integral parts of urban areas, with their environmental quality affecting residents? well-being. Spontaneous informal spaces (SIS) often emerge within these communities. These are predominantly crafted by the elderly using...
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Kyungdoh Kim
Drones, which were first used in military applications, are now widely used by civilians for various purposes such as for deliveries and as cameras. There has been a lack of research into what drone users expect in terms of drone design and operation fro...
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Jannette Quino, Joe Mari Maja, James Robbins, James Owen, Jr., Matthew Chappell, Joao Neto Camargo and R. Thomas Fernandez
Accurate inventory allows for more precise forecasting, including profit projections, easier monitoring, shorter outages, and fewer delivery interruptions. Moreover, the long hours of physical labor involved over such a broad area and the effect of ineff...
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Mohamed Okasha, Jordan Kralev and Maidul Islam
Parrot Mambo mini-drone is a readily available commercial quadrotor platform to understand and analyze the behavior of a quadrotor both in indoor and outdoor applications. This study evaluates the performance of three alternative controllers on a Parrot ...
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Higinio González Jorge, Luis Miguel González de Santos, Noelia Fariñas Álvarez, Joaquin Martínez Sánchez and Fermin Navarro Medina
The COVID-19 pandemic has shown the need to maximize the cleanliness of outside public services and the need to disinfect these areas to reduce the virus transmission. This work evaluates the possibilities of using unmanned aircraft systems for disinfect...
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Armando Levid Rodríguez-Santiago, José Aníbal Arias-Aguilar, Hiroshi Takemura and Alberto Elías Petrilli-Barceló
In this paper, an approach through a Deep Learning architecture for the three-dimensional reconstruction of outdoor environments in challenging terrain conditions is presented. The architecture proposed is configured as an Autoencoder. However, instead o...
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Asanka G. Perera, Yee Wei Law and Javaan Chahl
Aerial human action recognition is an emerging topic in drone applications. Commercial drone platforms capable of detecting basic human actions such as hand gestures have been developed. However, a limited number of aerial video datasets are available to...
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Moulay A. Akhloufi, Sebastien Arola and Alexandre Bonnet
Unmanned aerial vehicles (UAVs) are very popular and increasingly used in different applications. Today, the use of multiple UAVs and UAV swarms are attracting more interest from the research community, leading to the exploration of topics such as UAV co...
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Laurent Jospin, Alexis Stoven-Dubois and Davide Antonio Cucci
Autonomous flight with unmanned aerial vehicles (UAVs) nowadays depends on the availability and reliability of Global Navigation Satellites Systems (GNSS). In cluttered outdoor scenarios, such as narrow gorges, or near tall artificial structures, such as...
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