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.

翻译：随着基于深层学习的智能检测算法的迅速发展,在自动道路缺陷识别和道路标识划分方面已经取得了很大进展,这可以有效解决专业检查员手工审查街道的耗时费钱的过程问题,为此,我们提出路图,这是一个新的端对端综合系统,可以支持:(1) 道路缺陷检测,(2) 道路标识划分,(3) 用户提交和输入数据的基于网络的仪表板,(4) 包含结构完善的数据库和开发的API的后端。