Scopus
YÖKSİS Eşleşti
Road surface and inventory extraction from mobile LiDAR point cloud using iterative piecewise linear model
Measurement Science and Technology · Mayıs 2023
YÖKSİS Kayıtları
Road surface and inventory extraction from mobile LiDAR point cloud using iterative piecewise linear model
Measurement Science and Technology · 2023 SCI-Expanded
DOÇENT MUSTAFA ZEYBEK →
Makale Bilgileri
DergiMeasurement Science and Technology
Yayın TarihiMayıs 2023
Cilt / Sayfa34
Scopus ID2-s2.0-85147798136
Özet
Roads 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.
Yazarlar (2)
1
Mustafa Zeybek
ORCID: 0000-0001-8640-1443
2
Serkan Biçici
ORCID: 0000-0002-0621-9324
Anahtar Kelimeler
mobile LiDAR
piecewise linear model
point cloud
road inventory
road surface
Kurumlar
Artvin Coruh University, Turkey
Artvin Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
7
Atıf
2
Yazar
5
Anahtar Kelime