다중 센싱 기술을 활용한 도로 표면 결함 탐지

초록

Road surfaces generally undergo significant temperature changes between winter and summer and are easily damaged by heavy rains, snow, and vehicle axle weight. In this study, we developed a road surface scanning system that detects road surface defects by applying various sensing technologies such as infrared, laser, and vision sensing. First, infrared thermography technology was used to monitor the temperature profile on and below the road surface. Based on the road surface temperature distribution obtained from an infrared camera, a comprehensive analysis software was developed for diagnosing and monitoring road surface defects. Next, we obtained concavo-convex contours of the road surface by employing line laser scanning technology using a vision camera. Individual sensing algorithms were evaluated through experiments on specimens containing artificial defects. Experiments were also conducted on a road to detect surface defects and monitor the surface profile. In this paper, the software evaluation and real-time road monitoring results are introduced.

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