Calibration Method of LRF in Road Geometry Detection System

The road geometry is one of the most important indices that reflect the road condition. In order to collect this data, scholars developed several detection methods in recent years. This paper introduced a Road Geometry Detection System based on section measurement method. The detection system applies a inertial measurement unit (IMU) and laser rangefinders (LRFs) fixed on a measuring platform to capture the data of the slope and cross slope of the pavement. However, the detection system is limited as it needs to calibrate the system before a measuring task and this problem affect the measurement accuracy seriously. This paper proposed an efficient method to calculate the angles between measuring platform and each LRFs, which improve the detection accuracy effectively. Finally, a case study showed the proposed detection system and calibrating method was feasible and effective.