Results 51 to 60 of about 18,371 (226)
Flight Demonstration of Unmanned Aircraft System (UAS) Traffic Management (UTM) at Technical Capability Level 3 [PDF]
2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), 2019 The goal of the Unmanned Aircraft System (UAS) Traffic Management (UTM) effort at NASA is to enable access to low-altitude airspace for small UAS. This goal is being achieved partly through partnerships that NASA has developed with the FAA, other government agencies, the UAS stakeholder community, and the designated FAA UAS Test Sites.
Arwa Aweiss +8 more
openaire +2 more sources
Structured Urban Airspace Capacity Analysis: Four Drone Delivery Cases
Applied Sciences, 2023 A route network-based urban airspace is one of the initial operational concepts of managing the high-density very low-level (VLL) urban airspace for unmanned aircraft system (UAS) traffic management (UTM).
Sangjun Bae +2 more
doaj +1 more source
Space Weather, Volume 24, Issue 1, January 2026.Abstract Space weather disturbances can degrade satellite navigation accuracy, posing operational challenges for Unmanned Aerial Vehicle (UAV) missions that require precise path planning. This study investigates the impact of space weather‐induced horizontal navigation errors on UAV flight distance and energy consumption through a simulation‐based ...
Dabin Xue +5 more
wiley +1 more source
Material Extrusion Additive Manufacturing of the Composite UAV Used for Search-and-Rescue Missions
Drones, 2023 The additive processes used in the manufacture of components for unmanned aerial vehicles (UAVs), from composite filaments, have an important advantage compared to classical technologies.
Sebastian-Marian Zaharia +6 more
doaj +1 more source
A Distributed Framework for Traffic Flow Management in the Presence of Unmanned Aircraft [PDF]
, 2018 The integration of unmanned aircraft systems (UAS) into the airspace system is a key challenge facing air traffic management today. An important aspect of this challenge is how to determine and manage 4-dimensional trajectories for both manned and ...
Balakrishnan, Hamsa, Chandran, Bala
core
Space Weather and Low‐Altitude Drone Economy
Space Weather, Volume 24, Issue 1, January 2026.Abstract Unmanned Aerial Vehicles (UAVs) are becoming integral to the emerging low‐altitude economy, operating primarily below 3,000 m for applications such as logistics, inspection, precision agriculture, and urban air mobility. The safe and reliable operation of UAVs depends critically on communication, navigation, and surveillance (CNS) systems ...
Dabin Xue +3 more
wiley +1 more source
, 2019 The number of daily small Unmanned Aircraft Systems (sUAS) operations in uncontrolled low altitude airspace is expected to reach into the millions. UAS Traffic Management (UTM) is an emerging concept aiming at the safe and efficient management of such ...
Basti, Franco +6 more
core +1 more source
Principles for Applying AI to Address the Challenges of Scaling Digital Twins
Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.ABSTRACT Despite the increasing affordability of data processing and storage and the enhancement of artificial intelligence (AI) and digital technologies in recent years, scalability and adoption continue to be a challenge when it comes to digital twins (DTs). Common challenges that are often cited include the effort of designing and building DTs, high
Christine Chen +2 more
wiley +1 more source
Inventions, 2023 An unmanned aerial vehicle (UAV)-integrated control system is a set of functionally independent subsystems of the ground and space segments interacting with each other under the conditions of the stochastic nature of the external environment. There is an
Viktor Vititin +2 more
doaj +1 more source
Electronics Letters, Volume 62, Issue 1, January/December 2026.Reliable channel estimation in low‐altitude ISAC is challenged by UAV‐induced fast‐varying and non‐stationary channels. We present an ST‐cGAN framework that jointly models spatial and temporal features under conditional adversarial learning, achieving superior accuracy and robustness compared with conventional and deep learning baselines.
Guixin Pan +5 more
wiley +1 more source