ROAD INFRASTRUCTURE MAPPING BY USING IPHONE 14 PRO: AN ACCURACY ASSESSMENT

9 citations as recorded by crossref.

1. Analysis of the Qualitative Parameters of Mobile Laser Scanning for the Creation of Cartographic Works and 3D Models for Digital Twins of Urban Areas Ľ. Kovanič et al. https://doi.org/10.3390/app15042073
2. Use of Apple iPhone LiDAR for geometric measurement of road potholes using polynomial regression based stack profile method N. Khan & S. Kumar https://doi.org/10.1007/s41062-025-02481-1
3. Micropropagation of blackberry and blueberry: assessing the effects of subculture duration and explant density through the integration of traditional measurements and smartphone 3D imaging L. Regni et al. https://doi.org/10.1007/s11240-025-03267-0
4. Reference SMT-assisted ICP approach for integrating low-cost LiDAR and terrestrial laser scanner point clouds W. Błaszczak-Bąk & T. Kozakiewicz https://doi.org/10.1007/s12518-026-00779-y
5. Civil Integrated Management (CIM) for Advanced Level Applications to Transportation Infrastructure: A State-of-the-Art Review A. Taheri & J. Sobanjo https://doi.org/10.3390/infrastructures9060090
6. Bir Kaya Düşme Alanında LiDAR Sensörlü Akıllı Telefon Kullanarak Tekil Kaya Blok Hacimlerinin Belirlenmesi M. Doğruluk & N. Gültekin https://doi.org/10.24232/jmd.1479304
7. Evaluation of Positioning Accuracy Using Smartphone RGB and LiDAR Sensors with the viDoc RTK Rover S. Zollini & L. Marconi https://doi.org/10.3390/s25133867
8. A Novel Framework for Road Information Extraction From Low-Cost MMS Point Clouds B. Suleymanoglu & M. Soycan https://doi.org/10.1109/ACCESS.2024.3520939
9. 3D Radiometric Thermography Mosaics with Low-Cost Mobile Sensor Stack S. McAvoy et al. https://doi.org/10.3390/rs18091335