Data-Driven Methods for Enhanced Situation Awareness in Beyond Visual Range Air Combat
Time: Fri 2025-03-28 10.54
Location: Kollegiesalen, Brinellvägen 8, Stockholm
Language: English
Subject area: Aerospace Engineering Computer Science
Doctoral student: Edvards Scukins , Robotik, perception och lärande, RPL
Opponent: PhD Jaime Ide,
Supervisor: Petter Ögren, Robotik, perception och lärande, RPL
QC 20250306
Abstract
Pilots must be aware of their surroundings and environment to outperform the enemy fleet in air combat. Situation Awareness (SA) is vital. Pilots with a superior SA, compared to that of the enemy are more likely to act correctly and more quickly, which in turn increases their chances of outperforming the enemy fleet. For this reason, SA plays a significant role in the battlefield, and the techniques that provide pilots with SA must evolve with the ever-changing battlefield as air-to-air missiles' effective range increases and their performance improves.
We introduce our work in the SA domain for Beyond Visual Range (BVR) air combat. First, we describe the environment in which BVR air combat unfolds, followed by the research challenges where we address developing machine learning-driven tactics for BVR combat to optimize engagement strategies in complex and uncertain environments. Finally, we present our research results and explain how our approach can be applied to engagements with an arbitrary number of enemies and friendly units while noting that our approach should benefit both manned and unmanned aerial vehicles.