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多智能体协作感知作为人工智能与分布式系统交叉的重要方向，近年来在自动驾驶、无人系统编队、智能监控等领域受到广泛关注。梳理了该领域的研究背景与发展脉络，重点讨论了通信机制优化、位姿噪声下的鲁棒性、异构协同、安全与隐私保护及仿真平台等研究热点。在此基础上，探讨了实现高效通信的便捷方案，并展望了未来发展趋势。可为相关研究提供参考与启示，推动多智能体协作感知技术的持续进步。
Abstract：Multi-agent cooperative perception, as a key interdisciplinary direction between artificial intelligence and distributed systems, has attracted widespread attention in recent years in areas such as autonomous driving, unmanned system formation, and intelligent surveillance. This paper reviews the research background and development of this field, focusing on key topics including communication mechanism optimization, robustness under pose noise, heterogeneous cooperation, security and privacy protection, and simulation platforms. On this basis, this paper further explores a lightweight solution for efficient communication and discusses future research trends. This work aims to provide insights and references for researchers, promoting the continuous advancement of multi-agent cooperative perception technology.
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基本信息:
DOI：
中图分类号:TP18
引用信息:
[1]刘根嘉,陈思衡,张文军.多智能体协作感知的现状与展望[J].中兴通讯技术,2025,31(04):34-40.
基金信息:
国家自然科学基金项目（62450162）