Sensors for Unmanned Traffic Management
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 7138
Special Issue Editors
Interests: UAV traffic management; drone applications; air traffic management; data fusion
Special Issues, Collections and Topics in MDPI journals
Interests: aerospace vehicle design and testing; avionics and air traffic management systems; spaceflight systems design and operations; aerospace robotics and autonomous systems; guidance, navigation and control systems; Unmanned Aircraft Systems (UAS) and UAS traffic management; advanced air mobility and urban air mobility; distributed and intelligent satellite systems; space domain awareness and space traffic management; GNSS integrity monitoring and augmentation; defense C4ISR and electronic warfare systems; cognitive human-machine systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, Unmanned Aircraft System (UAS) applications have bloomed, ranging from aerial surveillance to remote infrastructure monitoring, freight delivery, geophysics surveying, and so on. In order to guarantee drone operations safety, UAS Traffic Management (UTM) systems are being developed and progressively introduced into service. They are formed of a collection of distributed pre-flight and real-time traffic coordination services, enabling pilot situation awareness (regarding nearby traffic, weather hazards, obstacles, aerospace limitations, etc.) and separation (both at the strategic and tactical level). Especially for real time/tactical coordination, there is a clear need for accurate and robust sensors both in the unmanned aircraft and on the ground, particularly when operating in critical areas (near airports, densely populated areas, etc.). Those sensors are not only related to UAS positioning, navigation and tracking (e.g., non-cooperative surveillance and anti-drone sensors), but should also contribute to the acquisition of contextual information relevant to UTM, such as weather or communication coverage maps. Additionally, the processing of their measurements, increasingly relying on Artificial Intelligence (AI) techniques, is of paramount importance.
The aim of this Special Issue is to solicit papers from academia and industry researchers with original and innovative works on all aspects of UTM-related sensors and multi-sensor data fusion, which review and report on the state of the art, highlight challenges, and point to future directions.
Dr. Juan Alberto Besada Portas
Prof. Dr. Roberto Sabatini
Guest Editors
Manuscript Submission Information
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Keywords
- Robust UAS navigation and surveillance for UTM
- Ground-based UAS tracking sensors for UTM
- Meteorologic sensors for UTM
- CNS performance metrics and assessment for UTM
- Multisensor data fusion for UTM
- Flight test, benchmark, and simulation studies in UTM
- Safety, security and privacy issues in UTM
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