Tag-Based Indoor Localization of UAVs in Construction Environments: Opportunities and Challenges in Practice

Navid Kayhani, B. McCabe, Ahmed Abdelaal, Adam Heins, Angela P. Schoellig
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引用次数: 7

Abstract

, ABSTRACT Automated visual inspection and progress monitoring of construction projects using different robotic platforms have recently attracted scholars’ attention. Unmanned/Unoccupied aerial vehicles (UAVs), however, are more and more being used for this purpose because of their maneuverability and perspective capabilities. Although a multi-sensor autonomous UAV can enhance the collection of informative data in constantly-evolving construction environments, autonomous flight and navigation of UAVs are challenging in indoor environments where the Global Positioning System (GPS) might be denied or unreliable. In such continually changing environments, the limited external infrastructure and the existence of unknown obstacles are two key challenges that need to be addressed. On the other hand, construction indoor environments are not fully unknown, as a progressively updating building information model (BIM) provides valuable prior knowledge about the GPS-denied environment. This fact can potentially create unique opportunities to facilitate the indoor navigation process in construction projects. The authors have previously shown the potentials of AprilTag fiducial markers for localization of a camera-equipped UAV in various controlled experimental setups in the laboratory. In this paper, we investigate the opportunities and challenges of using tag-based localization techniques in real-world construction environments.
建筑环境中基于标签的无人机室内定位:实践中的机遇与挑战
摘要利用不同机器人平台对建筑工程项目进行自动化目视检测和进度监控,近年来引起了学者们的关注。然而,由于其机动性和视角能力,无人/无人飞行器(uav)越来越多地用于这一目的。尽管多传感器自主无人机可以在不断变化的建筑环境中增强信息数据的收集,但在全球定位系统(GPS)可能被拒绝或不可靠的室内环境中,无人机的自主飞行和导航具有挑战性。在这种不断变化的环境中,有限的外部基础设施和未知障碍的存在是需要解决的两个关键挑战。另一方面,建筑室内环境并非完全未知,因为逐步更新的建筑信息模型(BIM)提供了有关gps拒绝环境的宝贵先验知识。这一事实可能会创造独特的机会,以促进建筑项目中的室内导航过程。作者之前已经在实验室的各种受控实验设置中展示了AprilTag基准标记在定位配备摄像头的无人机方面的潜力。在本文中,我们研究了在现实世界的建筑环境中使用基于标签的定位技术的机遇和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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