  With the rapid development of intelligent detection algorithms based on deep
learning, much progress has been made in automatic road defect recognition and
road marking parsing. This can effectively address the issue of an expensive
and time-consuming process for professional inspectors to review the street
manually. Towards this goal, we present RoadAtlas, a novel end-to-end
integrated system that can support 1) road defect detection, 2) road marking
parsing, 3) a web-based dashboard for presenting and inputting data by users,
and 4) a backend containing a well-structured database and developed APIs.
