Anomaly detection is an active area of research with numerous methods and applications.
This survey reviews the state-of-the-art of data-driven anomaly detection techniques and their …

The preparation and execution of training simulations for Air Traffic Control (ATC) and pilots
requires a significant commitment of operational experts. Such a mobilisation could be …

Drone expansion needs to be considered as a menace in cases of negligent, illicit, or non-cooperative
use. In the case of airports, a complete protection against drone intrusion should …

AIAA AVIATION 2021 FORUM : Towards U-space conflict management services based on
4D protection bubbles Page 1 Towards U-space conflict management services based on 4D …

While the ATM systems are strongly evolving through major ATM programs, a revolution is
under progress: the number of small drones operating at very low altitude is exponentially …

The drone market’s growth poses a serious threat to the negligent, illicit, or non-cooperative
use of drones, especially in airports and their surroundings. Effective protection of an airport …

This paper describes a methodology to estimate the peak threshold of the occupancy count
metric by using machine learning techniques on operational sector geometry and traffic flow …

This paper describes a method combining operational deterministic and stochastic approaches
to generate optimised and smooth sector configuration plans. First, sector configurations …

Despite large uncertainties, it is now clear that condensation trails play a major role in aviation
contribution to climate change. In order to assess these uncertainties and reduce them, a …

U-space, the drone traffic management framework in Europe, requires the development of
conflict detection and resolution services. If the conflict management process should be …