Abstract
During the past decade, a new approach to providing air traffic services to airports from a remote location has been established, known as remote or digital tower. High quality video data is a core component in remote tower operations as it inherently contains a huge amount of information on which a controller can base decisions. The total resolution of a typical remote tower setup often exceeds 25 million RGB pixels and is captured at 30 frames per second or more. It is thus a challenge to efficiently process all the data in such a way as to provide relevant real-time enhancements to the controller. In this paper we describe the development of number of improvements and discuss how they can be implemented efficiently on a single workstation by decoupling processes, implementing attention mechanisms and utilizing hardware for parallel computing.
Highlights
The remote tower concept, proposed in the early part of this century, aims to provide air traffic services (ATS) to airports from a remote location by streaming sensor data over a network [21, 29]
We have developed and tested a number of techniques based on video processing, 3D modelling and object tracking that apply to high-resolution video arising from remote towers
There remain a number of limitations of the approach which should be resolved in future work
Summary
The remote tower concept, proposed in the early part of this century, aims to provide air traffic services (ATS) to airports from a remote location by streaming sensor data over a network [21, 29]. The concept seems to have gained traction during the early part of this century with initial proof-of-concept being performed in the US by NASA [21] and by DLR in Europe [8, 10, 29] This was followed by a number of research projects that brought the concept forward to the first operational tower in Örnsköldsvik, Sweden in 2014 by LFV and Saab. A plethora of modern approaches visual object tracking were presented during the Seventh
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