A software tool for automated extraction of pavement cracks from mobile LiDAR data

路面破损是路面性能的一个指标。广泛的损坏或路面退化是强烈的交通负荷伴随极端天气条件或老化效应在加拿大各地的结果。地面遇险评估通常是手动进行的。然而，现在一些机构正在用自动遇险数据收集设备（如移动激光雷达扫描仪）取代人工工作。由移动激光扫描（或激光雷达）系统收集的密集、高精度的3D点云数据是记录路面状况的新兴数据源。这项新技术克服了传统手工操作的局限性，这些局限性通常与高成本、低生产率和低准确性有关。移动激光雷达系统能够在正常速度下低强度对比度的环境照明下扫描路面。已有研究表明，移动激光雷达点云可用于路面状况评估，包括车辙、平顺性、修复、纹理等

Pavement surface distresses are an indicator of pavement performance. Extensive damage or degradation of pavement surfaces is the consequence of intense traffic loads accompanying with extreme weather conditions or aging effect everywhere in Canada. Surface distress evaluation is commonly performed manually. However, nowadays several agencies are replacing the manual work by automated distress data collection devices, such as mobile LiDAR scanner. Dense and high accuracy 3D point cloud data collected by a mobile laser scanning (or LiDAR) system is an emerging data source for recording pavement distresses. This new technology has overcame the limitations of the traditional manual practices that usually associated with high cost, low productivity and low accuracy. Mobile LiDAR systems is capable of scanning road surfaces at ambient lighting with low intensity contrast under normal speed. Existing studies have demonstrated that mobile LiDAR point cloud is applicable to evaluate pavement condition including rutting, ride quality, rehabilitation, texture, and