Distributed multi-agent unmanned aerial systems (UAS) have the potential to be heavily utilized in environmental monitoring, especially in wetland monitoring. Deep active learning algorithms provide key tools to analyze the sensed images captured during ...

This paper introduces a grouping and routing problem of multiple agents for cooperative missions. The introduced problem, referred to as the Vehicle Grouping and Routing Problem with Profits, aims to maximize the total reward obtained by conducting a ...

High-precision air traffic congestion prediction is the basis for implementing refined traffic flow management. However, current prediction approaches are limited to fixed route topologies, neglecting the dynamic spatial dependencies caused by congestion ...

The emergence of surface trajectory-based operation (STBO) has promoted the development of taxi automation systems to plan conflict-free aircraft trajectories for efficient airport operations. Unlike traditional airport ground movement, aircraft guided by ...

With the growth of uncrewed aerial vehicle (UAV) traffic, increasing congestion is expected in low-altitude airspace and should be addressed by modern UAV traffic management (UTM) systems. This surge in the density of UAVs poses a significant challenge in ...

The approach and landing phase is the critical juncture in flight operations, where flight-state risks must be meticulously identified and mitigated to avert significant safety incidents. This paper proposes a risk prediction model that enhances the Light ...