Automation asphalt pavements distress detection using deep learning based retinanet

In this paper, the author proposed a supervised machine learning network to identify and classify different crack types in asphalt-surface pavements. A laser camera captured surface images from pavement surface then classified them into 3 classes following the manual of pavement distress identification by the Federal Highways Administration (FHWA).