研究人员开发了一个集成的智能无人机系统，使用DJI Tello平台，专注于用于跟踪、扫描和导航的实时视觉智能。该系统集成了面部检测、面部识别和单目深度估计，所有这些都由为嵌入式系统优化的轻量级神经网络模型处理。一个基于网络的界面允许进行无人机控制和视频监控，一个Python服务器负责处理推理管道。这种方法强调可访问性、低成本硬件和开源技术，证明了在受限硬件上部署先进AI用于军事、救援和监控应用的可行性。 AI
影响 证明了在低成本、受限硬件上部署先进AI用于实时机器人应用的可行性。
排序理由 该项目是一篇研究论文，详细介绍了为无人机开发AI系统。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv:2607.02298v1 Announce Type: cross Abstract: Autonomous drones are rapidly transforming modern warfare and civil applications alike. This paper presents the development of an integrated intelligent drone system designed to serve as a personal assistant. Leveraging the DJI Te…
Autonomous drones are rapidly transforming modern warfare and civil applications alike. This paper presents the development of an integrated intelligent drone system designed to serve as a personal assistant. Leveraging the DJI Tello drone platform, we implemented a modular archi…