Rutting extraction from vehicle-borne laser point clouds

IF 9.6 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Automation in Construction Pub Date : 2024-11-05 DOI:10.1016/j.autcon.2024.105853
Xinjiang Ma , Dongjie Yue , Jintao Li , Ruisheng Wang , Jiayong Yu , Rufei Liu , Maolun Zhou , Yifan Wang
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Abstract

Rutting is a type of structural road damage that seriously affects traffic safety, and rutting conditions are typically analyzed only from a two-dimensional cross-sectional perspective. Rutting detection currently lacks directional features and trends along the traveling direction. To address this issue, this paper develops a rutting extraction methodology from vehicle-borne laser point clouds to reflect the actual rutting conditions. The proposed method locates rutting points from cross-sectional data and further integrates the spatial correlation information of continuous cross sections to accurately extract dangerous rutting regions and longitudinal feature lines. Comprehensive experiments show that the Recall and Precision of rutting extraction are higher than 85 % and 90 % respectively, while also exhibiting higher robustness compared to other methods. These results demonstrate the effectiveness and accuracy of the proposed method for rutting extraction in large-scale road scenes. Future research will focus on deep learning-based road damage monitoring and provide valuable references for traffic management, road maintenance, and safety.
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从车载激光点云中提取车辙
车辙是一种严重影响交通安全的道路结构性损坏,而车辙状况通常只能从二维横截面角度进行分析。车辙检测目前缺乏方向性特征和沿行驶方向的趋势。为解决这一问题,本文开发了一种从车载激光点云中提取车辙的方法,以反映实际的车辙状况。该方法从横截面数据中定位车辙点,并进一步整合连续横截面的空间关联信息,从而精确提取危险车辙区域和纵向特征线。综合实验表明,车辙提取的 Recall 和 Precision 分别高于 85 % 和 90 %,同时与其他方法相比也表现出更高的鲁棒性。这些结果证明了所提出的方法在大规模道路场景中车辙提取的有效性和准确性。未来的研究将聚焦于基于深度学习的道路损伤监测,为交通管理、道路维护和安全提供有价值的参考。
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来源期刊
Automation in Construction
Automation in Construction 工程技术-工程:土木
CiteScore
19.20
自引率
16.50%
发文量
563
审稿时长
8.5 months
期刊介绍: Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.
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