Utilizing Unmanned Aerial Vehicles (UAVs) for Earthwork Fill Height Determination in Road Construction

Q4 Social Sciences
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Abstract

Unmanned aerial vehicle (UAV) was utilized to determine fill height of earthwork construction project along a local road kilometer 16+675 to kilometer 17+275 in Nongthalay subdistrict, Muang district, Krabi province. The data processing was conducted on PIX4D and the heights were measured from point cloud generated from the UAV using QGIS software. The study compared elevation profiles obtained from UAV point cloud data with conventional leveling methods in the road construction project. The results revealed that elevation differences between the two methods ranged from 0.068 to 0.651 meter, with an average difference of 0.327 meter and a percentage difference of 1.06%. These differences exceeded the allowable error threshold of 0.010 meter recommended for leveling class III in road construction specifications. Consequently, the use of UAV technology for leveling in this scenario is questioned due to the significant disparities observed compared to conventional survey methods. Nevertheless, the accuracy of this method can be improved through strategies such as the integration of additional GCPs to enhance georeferencing precision, meticulous camera calibration, and careful consideration of UAV imagery resolution and flight altitude. Diligent planning is essential to ensure precise and reliable height determination. Incorporating UAV technology for elevation acquisition in road construction projects requires a thorough understanding of local road construction standards, project specifications, and design guidelines. These standards can vary by region and road classification, underscoring the importance of staying updated with the latest regulations to ensure accurate and compliant implementation.  
利用无人机确定道路施工中土方填筑高度
利用无人机(UAV)确定了甲米省曼昂区农塔莱街道16+675公里至17+275公里当地道路土方施工项目的填筑高度。在PIX4D上进行数据处理,利用QGIS软件对无人机产生的点云进行高度测量。研究将无人机点云数据获得的高程曲线与常规找平方法在道路建设项目中的应用进行了比较。结果表明,两种方法的高程差为0.068 ~ 0.651 m,平均差0.327 m,百分比差1.06%。这些差异超过了道路施工规范中建议的III类找平允许误差阈值0.010米。因此,由于与传统调查方法相比观察到的显著差异,在这种情况下使用无人机技术进行找平受到质疑。然而,这种方法的精度可以通过整合额外的gcp来提高地理参考精度、细致的相机校准以及仔细考虑无人机图像分辨率和飞行高度等策略来提高。勤奋的规划对于确保精确可靠的高度测定至关重要。在道路建设项目中采用无人机技术进行高程采集,需要深入了解当地道路建设标准、项目规范和设计指南。这些标准可能因地区和道路分类而异,强调了保持最新法规的重要性,以确保准确和合规的实施。今天早上
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来源期刊
International Journal of Geoinformatics
International Journal of Geoinformatics Social Sciences-Geography, Planning and Development
CiteScore
1.00
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