A6.2 - Multiplatform sensor fusion. Drawing a common tactical scenario.
- Event
- ETTC 2024 - European Test and Telemetry Conference
2024-06-11 - 2024-06-13
Nuremberg - Chapter
- ML & AI Session II
- Author(s)
- M. Arévalo Nogales - Airbus Defence and Space, Getafe-Madrid (Spain)
- Pages
- 87 - 95
- DOI
- 10.5162/ETTC2024/A6.2
- ISBN
- 978-3-910600-02-7
- Price
- free
Abstract
Recent years have proven the importance of sharing sensor data in complex scenarios. The platforms in play are wildly heterogeneous, from small, unmanned vehicles to aircrafts, land units or vessels. This paper explains the concept of Common Operational Picture, a tactical scenario where multiple participants share sensory data to draw a single vision, improving data quality and reliability through data fusion. The main topic to be covered will be the data fusion and integration techniques used to enhance quality and reliability and the machine learning methods used for decision making with the data being stored. The root of the problem lies in the origin of data, as it is provided, processed, and stored by different participants and later on shared with others. This pipeline brings some challenges such as different timing systems, sensor hysteresis, and connectivity problems which burden data quality. Artificial intelligence and machine learning offer several solutions in this regard: bandwidth can be reduce using dimensionality reduction techniques, data anomalies, outliers, can be detected and analyzed using support vector machines and a greater situational awareness can be achieved.