Infrastructures, Volume 7, Issue 10
2022 October - 21 articles
Cover Story: Road maintenance is a key aspect of road safety. Traffic signs are an important part of the road network, providing information that enhances safety and driver awareness. This paper presents a method for the recognition and geolocation of vertical traffic signs based on artificial intelligence and the use of a low-cost mobile mapping system. The approach developed includes three steps: First, traffic signs are detected and recognized from imagery using a DL architecture with YOLOV3 and ResNet-152. Next, LiDAR point clouds are used to an accurate geolocation. Finally, a WebGIS viewer has been developed based on Potree architecture to visualize the results. The method has been validated on a road in Avila (Spain), demonstrating that the proposed method obtains accurate and reliable results. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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