用于自主建筑工地演示器的 EdgeAI 无人机
EdgeAI Drone for Autonomous Construction Site Demonstrator
AI总结：
本文提出面向建筑工地多机器人作业的 Edge-AI 无人机监视系统，集成 MCU 轻量检测、5G 多智能体协调与专用数据集，实验验证了其实时避障、路径规划及效率优势。
摘要：
自主系统与机器人领域正受到建筑、物流和消防等民用应用的广泛关注。然而，这些技术的广泛采用受到阻碍，因为需要强大的处理单元来运行 AI 模型。Edge-AI 解决方案具有相当大的前景，可实现低功耗、高性价比的机器人，从而使民用服务自动化、提高安全性并增强可持续性。本文提出了一种新型的 Edge-AI 赋能无人机监视系统，用于建筑工地的自主多机器人作业。我们的系统在定制 UAV 平台和支持 5G 的多智能体协调基础设施中集成了一个基于 MCU 的轻量级目标检测模型。我们专门针对建筑环境中的实时障碍物检测和动态路径规划问题，提供了一个专为基于 MCU 的边缘应用创建的综合数据集。现场实验证明了实际可行性，并确定了最佳运行参数，凸显了与现有 UAV 解决方案相比，我们方法在可扩展性和计算效率方面的优势。本文还讨论了自主车辆在建筑工地当前和未来的作用，以及 Edge-AI 解决方案的有效性。我们在 github.com/egirgin/storaige-b950 公开发布数据集。
英文摘要：
The fields of autonomous systems and robotics are receiving considerable attention in civil applications such as construction, logistics, and firefighting. Nevertheless, the widespread adoption of these technologies is hindered by the necessity for robust processing units to run AI models. Edge-AI solutions offer considerable promise, enabling low-power, cost-effective robotics that can automate civil services, improve safety, and enhance sustainability. This paper presents a novel Edge-AI-enabled drone-based surveillance system for autonomous multi-robot operations at construction sites. Our system integrates a lightweight MCU-based object detection model within a custom-built UAV platform and a 5G-enabled multi-agent coordination infrastructure. We specifically target the real-time obstacle detection and dynamic path planning problem in construction environments, providing a comprehensive dataset specifically created for MCU-based edge applications. Field experiments demonstrate practical viability and identify optimal operational parameters, highlighting our approach's scalability and computational efficiency advantages compared to existing UAV solutions. The present and future roles of autonomous vehicles on construction sites are also discussed, as well as the effectiveness of edge-AI solutions. We share our dataset publicly at github.com/egirgin/storaige-b950
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
