Automatic detection of pavement distress in road freight transport risks

Abstract

Intelligent and automatic detection of pavement distress is a necessary mean to guarantee the safety and the comfort of road freight vehicles, which plays an important role on the pavement maintenance and the freight transportation. Based on analyzing neighboring gray difference, local minimum gray analysis and the sub-block label, a joint automatic detection method of the pavement distress is proposed in this paper. Theoretical analysis and experimental results show that the proposed joint detection method of pavement distress is more effective, and the detection rate of pavement images is 96.7%.