Automatic settlement assessment of urban road from 3D terrestrial laser scan data

Xinchen Zhang , Qian Wang , Hai Fang , Guogang Ying
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引用次数: 0

Abstract

Tunnel construction in urban environments often requires passing beneath existing roads, where excessive soil excavation can lead to road cracking, settlement, or heaving, posing risks to road safety. Traditional road settlement monitoring methods rely on manual measurements, which are time-consuming, labor-intensive, and costly. Some existing approaches also require extensive sensor deployment, complicating installation and maintenance. To address these challenges, this study introduces a LiDAR-based method for efficient and accurate road settlement assessment. The impact of various LiDAR measurement parameters on assessment accuracy and efficiency was analyzed under typical urban road conditions. A comprehensive workflow was developed, incorporating both rough and fine alignment processes. Key steps in the workflow, such as automated identification of matching planes between point clouds, directional alignment, and angle fine-tuning, were automated using advanced algorithms. The proposed method was applied and validated in a region undergoing tunneling works in Singapore. Results demonstrated that the partially automated LiDAR-based approach achieved comparable accuracy to manual point cloud alignment methods while significantly improving efficiency and reducing labor costs. Furthermore, when compared to traditional total station methods, the LiDAR-based technique maintained errors within acceptable limits and enabled broader spatial coverage. Overall, this study highlights the feasibility and potential of LiDAR technology to enhance road settlement monitoring in engineering practice, offering a cost-effective and scalable alternative to traditional methods.
利用三维地面激光扫描数据自动评估城市道路沉降状况
在城市环境中建造隧道往往需要从现有道路的下方通过,过度挖掘泥土会导致道路开裂、沉降或隆起,对道路安全构成威胁。传统的道路沉降监测方法依赖于人工测量,耗时长,劳动强度大,成本高。一些现有的方法还需要大量的传感器部署,使安装和维护变得复杂。为了应对这些挑战,本研究引入了一种基于激光雷达的方法,用于高效准确的道路沉降评估。在典型城市道路条件下,分析了各种激光雷达测量参数对评估精度和效率的影响。开发了一个综合的工作流程,结合了粗糙和精细的校准过程。工作流程中的关键步骤,如点云之间匹配平面的自动识别、方向对齐和角度微调,都使用先进的算法实现了自动化。该方法在新加坡某隧道施工区域进行了应用和验证。结果表明,基于激光雷达的部分自动化方法在显著提高效率和降低人工成本的同时,取得了与人工点云对齐方法相当的精度。此外,与传统的全站仪方法相比,基于激光雷达的技术将误差保持在可接受的范围内,并实现了更广泛的空间覆盖。总体而言,本研究强调了激光雷达技术在工程实践中增强道路沉降监测的可行性和潜力,为传统方法提供了一种具有成本效益和可扩展性的替代方案。
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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