Development of Optical Sensing Detection System for Monitoring of Rutting and Pavement Assessment

考虑到路面车辙评估面临的挑战，本项目的目标是开发一种基于三维光学视觉的监测系统，以检测和评估由交通荷载引起的路面车辙困扰。该系统将评估路面状况，并通过提供及时的修复策略和对策，降低道路使用者和当局的成本。该系统包括三个阶段：(1)建立光学数据采集平台，采集图像数据；(2)利用摄像机、图像处理和分析算法，开发出一种精确、可操作的路面车辙检测和评估方法；(3)提出一种反馈控制算法，调整修复方案。在第一阶段，提供适当的光学设备来收集图像数据。此外，根据问题要求，提出了光学系统的配置方案。第二阶段涉及建立一种精确且易于遵循的基于光学传感视觉的方法，以实时方式检测、测量和评估路面车辙。第三阶段设计了车辙反馈控制系统，评估车辙对路面结构性能的影响，评估车辙风险等级。如果超出允许的风险，系统会发出警报并提出所需的对策。最终产品是一个易于使用的软件，可以执行从路面车辙检测到风险估计和路面性能监测的三个阶段。为了测试建议的系统，将进行小规模的实验室实验，并验证监测程序。

Considering the challenges in the assessment of pavement rutting, the objective of this project is to develop a 3D optical vision-based monitoring system to detect and evaluate pavement rutting distress that is caused by traffic loads. The proposed system will assess pavement conditions and reduce the cost for road users and authorities by offering on-time rehabilitation strategies and countermeasures. The system consists of three stages: (1) establishing an optical data acquisition platform to gather image data, (2) developing a precise and operationally viable method using cameras, image processing, and analysis algorithms for detection and assessment of pavement rutting, and (3) presenting a feedback control algorithm for adjusting the rehabilitation plan. In Stage 1, the proper optical equipment is provided to collect image data. In addition, the configuration of the optical system is proposed considering problem requirements. Stage 2 involves establishing an accurate and easy-to-follow optical sensing vision-based method to detect, measure, and evaluate pavement rutting in a real-time manner. In Stage 3, a feedback control system is designed to estimate the effect of rutting on the performance of pavement structure and assess the risk level. If the allowable risk is exceeded, the system issues an alert and proposes required countermeasures. The final product is an easy-to-use software to perform three proposed stages from pavement rutting detection to estimation of risk and monitoring of pavement performance. To test the proposed system, a small-scale lab experiment will be conducted and the monitoring procedure will be validated.