使用无人驾驶飞行器的路面监测:概述

Q Engineering
Pranav R. T. Peddinti, Harish Puppala, Byungmin Kim
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引用次数: 0

摘要

路面监测包括对路面的定期损伤检测和状况评估,以实现有效的路面管理。基于无人机(UAV)的路面监测需要多学科知识,包括路面破损、无人机类型、有效载荷、飞行参数、无人机部署和图像处理。由于各种无人机、数据传感设备、操作生态系统和后处理工具的可用性,选择这些系统的适当组合至关重要。因此,本研究的主要目的是提供有关现有监测技术普遍挑战的基本知识,并讨论无人机相对于传统路面监测实践的潜在优势。在基于图像的路面监测的背景下,强调无人机技术的最新审查被提出。为新手用户起草了无人机部署的详细工作流程和检查表,以确保安全和高质量的数据采集。最后,讨论了基于无人机的路面监测面临的挑战和未来的发展方向。总的来说,本研究旨在为初学者提供基于无人机的路面监测的全面信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pavement Monitoring Using Unmanned Aerial Vehicles: An Overview
Pavement monitoring involves periodic damage detection and condition assessment of pavements for efficient pavement management. Unmanned aerial vehicle (UAV)-based pavement monitoring requires multidisciplinary knowledge of pavement distress, drone type, payload, flight parameters, drone deployment, and image processing. Owing to the availability of various UAVs, data sensing devices, operating ecosystems, and post-processing tools, selecting an appropriate combination of these systems is crucial. Therefore, the primary objective of this study is to provide essential knowledge on the prevalent challenges of existing monitoring techniques and discuss the potential advantages of UAVs over conventional pavement monitoring practice. A state-of-the-art review emphasizing UAV technicalities in the context of image-based pavement monitoring is presented. A detailed workflow and checklist for drone deployment is drafted for novice users to ensure safe and high-quality data acquisition. Finally, the present challenges and future scope of UAV-based pavement monitoring is discussed. Overall, this study aims to provide inclusive and comprehensive information on UAV-based pavement monitoring to beginner researchers.
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来源期刊
Journal of Transportation Engineering
Journal of Transportation Engineering 工程技术-工程:土木
CiteScore
1.22
自引率
0.00%
发文量
0
审稿时长
3.6 months
期刊介绍: Information not localized
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