The anticipated proliferation of Unmanned Aerial Vehicles (UAVs) in the airspace in the
coming years has raised concerns about how to manage their flights to avoid collisions and …

The research community has paid great attention to the prediction of air traffic flows.
Nonetheless, research examining the prediction of air traffic patterns for unmanned aircraft …

To ensure the success of future urban air mobility, it is important to address public concerns
regarding safety, and noise. Current regulations stipulate that UAS traffic in Europe occurs in …

U-space, the EU implementation of air traffic management of drones, is one of the key
enablers to realizing a safe integration of crewed and uncrewed aviation in shared airspace …

Machine learning techniques are revolutionizing the field of autonomous navigation and
collision avoidance in Unmanned Aerial Vehicles (UAVs). The advancement of UAVs toward …

The growing potential for Unmanned Aerial vehicles (UAVs) is creating new business
opportunities. Drones, U-space, UTM, and their application to Air Mobility are fostering new …

Abstract Unmanned Aerial Vehicles (UAVs) encounter various uncertainties, including
unfamiliar environments, signal delays, limited control precision, and other disturbances …

Society today brings a high pace development and demand of Artificial intelligence systems
as well as robotics. To further expand and to take one step closer to have Unmanned Aerial …