Road surface and inventory extraction from mobile LiDAR point cloud using iterative piecewise linear model

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dc.authorid0000-0002-0621-9324en_US
dc.contributor.authorZeybek, Mustafa
dc.contributor.authorBiçici, Serkan
dc.date.accessioned2023-02-17T14:00:33Z
dc.date.available2023-02-17T14:00:33Z
dc.date.issued2023
dc.departmentAÇÜ, Mühendislik Fakültesi, Harita Mühendisliği Bölümüen_US
dc.description.abstractRoads are one of the main characteristics of cities, and their data should be updated periodically. In this study, a new automatic method is proposed for extracting road surface information and road inventory from a Mobile LiDAR System-based point cloud. The proposed method consists of four steps. First, a three-dimensional point cloud is acquired using the mobile LiDAR scanning raw data. To improve the extraction accuracy, irrelevant points are removed from the point cloud. Piecewise linear models are used in the third step to classify the road surface. Road geometric characteristics such as centerline, profile, cross-section, and cross slope are extracted in the final step. The manually obtained road boundary is compared with the extracted road boundary to assess the classification results. Completeness, correctness, quality, and accuracy measures are range from $97\%$ to $99\%$. When comparing these measures with previous studies, the proposed method produces one of the highest ones.
dc.identifier.citationZeybek, M., & Biçici, S. (2023). Road surface and inventory extraction from mobile LiDAR point cloud using iterative piecewise linear model. Measurement Science and Technology, 34(5), 055204. ‌en_US
dc.identifier.doi10.1088/1361-6501/acb78d
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1088/1361-6501/acb78d
dc.identifier.urihttps://hdl.handle.net/11494/4709
dc.identifier.volume34en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorBiçici, Serkan
dc.language.isoenen_US
dc.publisherMeasurement Science and Technologyen_US
dc.relation.ispartofMeasurement Science and Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleRoad surface and inventory extraction from mobile LiDAR point cloud using iterative piecewise linear modelen_US
dc.typeArticle

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