Deep Learning Based Situation Awareness for Multiple Missiles Evasion

arXiv:2402.10101v1 Announce Type: new
Abstract: As the effective range of air-to-air missiles increases, it becomes harder for human operators to maintain the situational awareness needed to keep a UAV safe. In this work, we propose a decision support tool to help UAV operators in Beyond Visual Range (BVR) air combat scenarios assess the risks of different options and make decisions based on those. Earlier work focused on the threat posed by a single missile, and in this work, we extend …

abstract arxiv beyond cs.ai cs.lg decision decision support deep learning evasion human missiles multiple operators situational awareness support tool type visual work