标题： 利用边缘智能和大语言模型推动6G赋能的自动驾驶防御车辆互联网的发展 显示英文标题

标题： Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles

摘要： 人工智能（AI）及其子集深度学习（DL）的发展，对众多领域产生了深远影响，包括自动驾驶。在军事环境中整合自动驾驶技术可以减少人员伤亡，并在危险环境中实现精确且安全的任务执行，同时允许可靠的后勤支持，而不会出现与疲劳相关的错误风险。然而，仅依赖自动驾驶需要一个在任何情况下都适应性强且最优的决策模型。考虑到在关键任务场景中存在大量相互连接的自动驾驶车辆，超可靠低延迟通信（URLLC）对于确保无缝协调、实时数据交换以及对动态驾驶环境的即时响应至关重要。6G的出现通过实现强大的连接性，加强了军事防御事物互联网（IoMDT）领域内自动化防御车辆互联网（IoADV）的概念，这对于实时数据交换、高级导航和通过IoADV交互增强的安全功能至关重要。另一方面，这一领域的一个关键进展是使用预训练的生成式大语言模型（LLMs）进行自动驾驶的决策和通信优化。因此，本文探讨了实现这些技术在关键国防应用中的全部潜力的机会和挑战，特别是通过IoADV的进步及其在增强自主军事行动中的作用。 显示英文摘要

摘要： The evolution of Artificial Intelligence (AI) and its subset Deep Learning (DL), has profoundly impacted numerous domains, including autonomous driving. The integration of autonomous driving in military settings reduces human casualties and enables precise and safe execution of missions in hazardous environments while allowing for reliable logistics support without the risks associated with fatigue-related errors. However, relying on autonomous driving solely requires an advanced decision-making model that is adaptable and optimum in any situation. Considering the presence of numerous interconnected autonomous vehicles in mission-critical scenarios, Ultra-Reliable Low Latency Communication (URLLC) is vital for ensuring seamless coordination, real-time data exchange, and instantaneous response to dynamic driving environments. The advent of 6G strengthens the Internet of Automated Defense Vehicles (IoADV) concept within the realm of Internet of Military Defense Things (IoMDT) by enabling robust connectivity, crucial for real-time data exchange, advanced navigation, and enhanced safety features through IoADV interactions. On the other hand, a critical advancement in this space is using pre-trained Generative Large Language Models (LLMs) for decision-making and communication optimization for autonomous driving. Hence, this work presents opportunities and challenges with a vision of realizing the full potential of these technologies in critical defense applications, especially through the advancement of IoADV and its role in enhancing autonomous military operations.