UAS VISION
an independent online news service for the Unmanned Aircraft Systems world
The Planning Office of the German Armed Forces has awarded Airbus Defence and Space GmbH, Quantum-Systems GmbH and Spleenlab GmbH with a research endeavour to demonstrate and analyze the AI building blocks required for swarms of tactical UAS in a real-world scenario. The project, titled KITU 2 (Künstliche Intelligenz für taktische UAS; Artificial Intelligence for tactical UAS), is funded by the German Ministry of Defence. Continue reading
Researchers from Empa and Imperial College London are developing a heat-resistant drone that can analyze the source of danger at close range in the event of a building or forest fire. This allows firefighters to optimize the strategy of a high-risk operation before entering the danger zone. Continue reading
The Antarctic continent conjures visions of white ice and blue sky. But not far from Australia’s Casey Station, 3,880 km due south of Perth, moss beds emerge verdant and green. Sadly, the health of these moss beds is declining due to changing climate conditions, ozone depletion and heatwaves. Continue reading
A team of Spanish researchers has published an 11-page study which addresses theoretical and practical controller platforms, offering novel solutions to the vital control issues that arise when combined with communication problems in the case of multi-UAVs for remote sensing operations. Continue reading
New research shows the potential of electromagnetic fault injection (EMFI) attacks against unmanned aerial vehicles, with experts showing how drones that don’t have any known vulnerabilities could be hacked. Continue reading
Scientists at British universities helped the Iranian regime develop technology that can be used in its drone programme and fighter jets, a Jewish Chronicle investigation has revealed. Continue reading
A study supported by the United States Department of Agriculture–National Institute of Food and Agriculture aims to evaluate the efficacy of simple linear, multiple, and robust regression methods to predict fall-harvested alfalfa (Medicago sativa L.) yield using unmanned aerial vehicle (UAV)-acquired multispectral and thermal images. Continue reading
A team of researchers at the University of Hong Kong, Shenzhen, China has just published a paper that studies three-dimensional (3D) online placement for a UAV to construct relay links to two ground users to help guide unmanned aerial vehicles in dense city environments. Continue reading