1/12/2020 · Lane departure warning systems in road traffic. • Lane line detection algorithms based on Image processing and analysis. • Semantic segmentation methods for lane line identification. • Machine learning, deep learning and neural network. • New methods of 3D lane

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Visual inspection emphasizes recognition and judgment, as well as reliability in an industrial field environment compared to image processing systems in general. Visual inspection is a fairly new and rapidly developing field of research. From the 1950s, people began to study the statistical pattern recognition of two-dimensional images.

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1/1/2014 · The approaches for the identification of specific road marking kind (dashed line, arrow etc.) are very similar to the identification from RGB images and also rely highly on the properties of the markings (Yang, 2012; Thuy and León, 2010). Therefore, both groups of

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1/7/2010 · Abstract. This paper presents an automatic approach to road marking reconstruction using stereo pairs acquired by a mobile mapping system in a dense urban area. Two types of road markings were studied: zebra crossings (crosswalks) and dashed lines. These two types of road markings consist of strips having known shape and size.

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Road markings with various properties were tested for machine vision recognition. Good recognition was measured under dry conditions with both cameras and LiDAR. Under conditions of moisture, highly retroreflective markings were superior. Premium glass beads in structured markings gave performance comparable to tape.