This paper by Wen et al., presents a deep learning-based framework for road marking extraction, classification and completion from three-dimensional (3D) mobile laser scanning (MLS) point clouds. Road markings play a critical role in road traffic safety and are one of the most important elements for guiding autonomous vehicles (AVs). High-Definition (HD) maps with accurate road marking information are very […]
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Article Highlights: The use of Mobile Laser Scanning for collecting highway conditions such as pavement markings is increasing. Since pavement markings are made intentionally reflective their return intensity can be used to auto-extract them from the point cloud. Extracting them can be a challenge given the accuracies of current MLS systems (cm-level), relative to the thickness of the markings (mm-level). […]
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