UAV tracking module proposal based on a regulative comparison between manned and unmanned aviation

Abstract

Purpose: The aim of this study is twofold. First is to compare manned and unmanned aviation regulations in the context of IACO Annexes to identify potential deficiencies in the international UAV legislations. Second is to propose a UAV monitoring module work flow as a solution to identified deficiencies in the international UAV regulations.Design/methodology/approach: In the present study, firstly the regulations used in manned aviation were summarized in the context of ICAO Annexes. Then along with an overview of the use of UAVs, international UAV regulations have been reviewed with a general perspective. In addition, a comparison was made on whether contents of ICAO Annexes find a place in common international UAV regulations in order to understand areas to be developed in the international UAV regulations, and to better understand the different principles between manned and unmanned air transport. In the last section, we present a UAV tracking module (UAVTram) in line with the above-mentioned comparison between manned and unmanned aviation and the identified deficiencies in the international UAV regulations.Findings: The international UAV regulations should be developed on the basis of airport airspace use, detection, liabilities, sanctions of violations, and updating of regulation. Proposed UAVTram has potential to offer real-time tracking and detection of UAVs as a solution to malicious use of UAVs.Research limitations/implications: Our study is not exempt from limitations. Firstly, we didn’t review all UAV regulations because it needs a considerable amount of efforts to check out all the UAV regulations pertinent to different areas of the world. It is the same case for manned aviation as we used only ICAO Annexes to contextually compare with UAV regulations.Practical implications: From the practical perspective, studies introducing new technologies such as systems that help detection of remote pilots causing trouble and agile defense systems will give valuable insights to remove individual UAV threats.Originality/value: We didn’t find any study aiming to compare manned and unmanned aviation rules in search of finding potential deficiencies in the UAV regulations. Our study adopts such an approach. Moreover, our solution proposal here uses Bluetooth 5.0 technology mounted on stationary transmitters which provides more effective range with higher data transfer. Another advantage is that this work is projected to be supported by Turkish civil aviation authority, DGCA. This may accelerate efforts to make required real-time tests.

UAV Detection Using Reinforcement Learning

“…At first, UAVs were developed to serve military-based applications. Later, the quality of civilian services was enhanced by using UAVs for simple tasks [ 5 ]. In recent years, smart cities have gained huge popularity where they prompt innovative projects, research, and ideas for a “smart” city that is environmentally and socially sustainable [ 6 ].…”