Artificial Intelligence and Data Science
Online ISSN : 2435-9262
Research on automatic generation of area data for road features in construction of prod- uct model from point cloud
Jin YAMAMOTORyuichi IMAIKenji NAKAMURAYoshinori TSUKADANoriko ASO
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JOURNAL OPEN ACCESS

2024 Volume 5 Issue 1 Pages 159-171

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Abstract

With the use of laser measurement equipment, point clouds of national land space have been measured and accumulated. Since point clouds, the product of laser measurement, is a collection of points with positional coordinates, it must be processed into a data set that can be easily processed spatially to be deployed for a variety of purposes. The authors have been working on the product model of point clouds and have constructed a road feature identification model using area data generated from road drawings and road maps for automatic driving (HD maps) and point clouds for each road feature. On the other hand, the problem was that the area data necessary for product model could not be generated for sections where there were no drawings or maps.

In this study, we devised a method to automatically generate the area data of landmarks using the land- mark identification model. We compared the area data of HD maps and the proposed method and found that the proposed method can automatically generate area data from point clouds of road feature.

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© 2024 Japan Society of Civil Engineers
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