Road deformation detection based sensor fusion

The state of asphalt pavement gradually becomes worse because of daily traffic, weather, and temperature. Then it emerges as pavement deformations. For preventing human damages by them, we need to detect existing underground cavity. Consequently, location estimation of the efficiency is an important factor for maintaining the road safety. The purpose of the present study is to develop Asphalt Pavement Deformation Monitoring System (APDMS). The APDMS automatically detects the deformation of asphalt pavement using computer vision, laser range finder, and inertial measurement sensor. Laser range finder is used to collect height data of pavement surface more accurately. Then vision sensor is used to acquire a state of asphalt pavement. Experimental results show that pavement deformations can be detected correctly with the sensor fusion method.