Commercial aircraft operating today are faced with an air traffic management (ATM) system
operating with methods that have been developed for a paper-and voice-based system …

Abstract Future Air Traffic Management will increasingly be based on a strategic,
collaborative and automated concept of operations. A key prerequisite is the capability to …

Photogrammetric surveys are increasingly being carried out using Unmanned Aerial
Vehicles (UAV). Steering drones along the flight profiles is one of the main factors that …

A machine learning approach to trajectory prediction for sequencing and merging of traffic
following fixed arrival routes is described and evaluated using actual aircraft trajectory and …

Challenges inherent to autonomous wintertime navigation in forests include lack of reliable
a Global Navigation Satellite System (GNSS) signal, low feature contrast, high illumination …

Accurate prediction of aircraft trajectories is an important part of decision support and
automated tools in air traffic management. We demonstrate that by combining information …

Aircraft trajectory prediction is a challenging problem in air traffic control, especially for
conflict detection. Traditional trajectory predictors require a variety of inputs such as flight …

Small unmanned aircraft system (sUAS), as defined by the FAA, refers to a small unmanned
aircraft weighing less than 55 pounds on takeoff, and its associated elements that are …

This paper presents the results of a research performed at the Research Laboratory in Active
Controls, Avionics and Aeroservoelasticty (LARCASE), at ÉTS, concerning optimisation …

Air traffic management (ATM) is undergoing a paradigm shift towards trajectory based
operations where the role of an air traffic controller evolves from that of continuous …