基于无人机的混凝土结构裂缝检测与评估自动扫描

Amna Smaoui, Yacine Yaddaden, Raef Chérif, Dorra Lamouchi
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引用次数: 0

摘要

无人机变得越来越容易获得,即使在充满挑战和动态的环境中,也为监测和检查民用基础设施开辟了道路。事实上,使用无人机有助于更安全、更快、更准确的检查,通常超出了人类的检测范围。提出了一种基于机载摄像机的无人机混凝土结构自主扫描任务路径规划方法。主要目标是确保最大限度地覆盖结构,并收集和传输图像以估计裂缝造成的损害程度。利用软件在环仿真对所提出的解决方案进行了集成和评估。结果表明,该算法能够实现鲁棒扫描,且在任务过程中电池的能量消耗最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Scanning of Concrete Structures for Crack Detection and Assessment Using a Drone
Unmanned Aerial Vehicles are becoming more accessible, opening the way to monitoring and inspecting civil infrastructure, even in challenging and dynamic environments. Indeed, using UAV s contributes to safer, faster and more accurate inspections, often beyond what the human being can detect. This paper proposes a path-planning method for an autonomous scan mission using a UAV with an onboard camera for concrete structure inspection. The main objectives are ensuring maximum coverage of the structure and collecting and transmitting images to estimate the extent of damage caused by cracks. The proposed solution is integrated and evaluated using the Software-In-the-Loop Simulation. The results show that the proposed algorithm allows robust scanning with the least energy dissipated by batteries during the mission.
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