This technical report describes the development of a counter-unmanned aircraft system platform for sensor-data fusion and visualisation. The report outlines the design, implementation and integration of sensor inputs for the effective detection, identification and tracking of both cooperative and non-cooperative unmanned aircraft, commonly known as drones, in airspace. With a focus on the direct remote identification sensing, the platform architecture is based on commonly used technologies, i.e., message broker, Python data processing backend, and Redis in-memory database. The objective was to develop a base platform that can be extended to deploy and test more sophisticated sensor-data fusion algorithms on real-time data. A first version of a sensor-data fusion algorithm was implemented for data from direct remote identification sensors using dynamic time warping (DTW). The Python implementation of DTW is discussed, highlighting its efficiency and applicability in real-time operations. Additionally, the frontend interface of the platform is described, offering a user-friendly graphical user interface for monitoring and controlling drone activity. The work concludes with the successful creation of a full-stack infrastructure utilizing open-source tools for data handling, processing, and visualisation. The frontend application incorporates the visualisation of the official Belgian geo-zones, and future developments are discussed, such as implementing geo-zoning and geo-fencing alerts.
Authors
Joint Research Centre, European Commission, Amendola, Danilo, Anderson, David, Lagaras, Stylianos
- Catalogue number
- KJ-NA-31-981-EN-N
- Citation
- European Commission, Joint Research Centre, Amendola, D., Anderson, D., Lagaras, S., A counter-drone visualisation platform incorporating sensor-data fusion , Publications Office of the European Union, 2024, https://data.europa.eu/doi/10.2760/560445
- DOI
- https://data.europa.eu/doi/10.2760/560445
- ISBN
- 978-92-68-18339-7
- ISSN
- 1831-9424
- Pages
- 39
- Published in
- Belgium
- Themes
- Industrial research and development , Air and space transport
Table of Contents
- JRC137155_ENG_ONLINE_FRONT_2024-06-24-0145 1
- JRC137155_JRC_Technical_Report final 1
- Contents 3
- Abstract 4
- Foreword 5
- Acknowledgements 6
- 1 Introduction 7
- 1.1 EU drones and counter-drones legislation 8
- 1.2 Scope of this work 10
- 2 C-UAS sensor-data fusion and visualisation platform 12
- 2.1 Direct remote identification through passive radio frequency sensor 13
- 2.2 Message broker 13
- 2.3 Data processing backend 14
- 2.4 In-memory database (Redis database & data storage) 17
- 2.5 Synthetic data generators 17
- 2.6 FastAPI 18
- 3 Sensor data fusion 20
- 3.1 Dynamic time warping 20
- 3.2 Fusing 3D trajectories using DTW 21
- 3.3 Python implementation of DTW 23
- 4 Frontend application 25
- 4.1 Technologies and architecture 25
- 4.2 Frontend frameworks and mapping libraries 26
- 4.3 Mapping tools in offline web applications 28
- 4.4 JRC DevOps Platform and GitLab repositories 29
- 4.5 Future developments: geo-zones and geo-fencing 29
- 5 Conclusions 31
- References 32
- List of abbreviations and definitions 34
- List of figures 35
- List of tables 36
- Annex 1: Software, libraries, and frameworks versions 37
- JRC137155_ENG_ONLINE_BACK_2024-06-24-0145 38
