In this study, we have investigated a technology to detect defects existing on the road surface efficiently. First, using the line laser technology, the profile of the road surface was inspected to examine the difference in the height of the road surface to understand the presence of the defect. The infrared thermography (IRT) technology was used to detect the temperature difference of the road surface, and estimated potential defects due to the temperature difference. In addition, the vision camera was used to visualize the defects on the surface of the road in conjunction with line laser and infrared thermographic images. Deep learning based fault detection technology was also applied for real-time analysis of defects while actual driving. Finally, a system has been developed to detect defects in real time using various advanced technologies. In this paper, the developed technologies and actual driving test results will be presented.