This article evaluates an artificial intelligence (AI)-based Automatic Ground Collision Avoidance System (AGCAS) designed for advanced jet trainers to enhance operational effectiveness. In the continuously evolving field of aerospace engineering, the integration of AI is crucial for advancing operations with improved timing constraints and efficiency. Our study explores the design process of an AI-driven AGCAS, specifically tailored for advanced jet trainers, focusing on addressing the AGCAS problem within a limited observation space. The system utilizes line-of-sight queries on a terrain server to ensure precise and efficient collision avoidance. This approach aims to significantly improve the safety and operational capabilities of advanced jet trainers.

翻译：本文评估了一种面向高级喷气教练机、基于人工智能（AI）的自动地面防撞系统（AGCAS），旨在提升其作战效能。在航空航天工程持续发展的背景下，集成AI对于在更严苛的时间约束与效率要求下推动任务演进至关重要。本研究探讨了针对高级喷气教练机定制的AI驱动AGCAS设计流程，重点解决有限观测空间内的防撞问题。该系统利用地形服务器上的视线查询技术，确保精确高效的防撞性能。该方法旨在显著提升高级喷气教练机的安全性与作战能力。