Profiling the surface is a crucial process in studying the material property of a road pavement. Accurate profiling is time-consuming and labour intensive in the preparation, setup and operation of all the relevant equipment.
Autonomous data logging over the pavement surface can greatly improve productivity by reducing the time and effort spent on setting up and operating the profiling equipment. A crawler robot was developed with state-of-the-art sensors to track its path and the data logging. Both the repeatability and the resolution of the data is within the millimeter scale. The data taken by the RTP was compared with the previous system, which set the standard of the pavement study. It has been proven that the data taken by RTP is consistent with the previous standard and has high repeatability, hence it is adapted as the new standard for profiling pavement surface.
Personnel - Mr Michael Stanley (PhD student)