HIGHWAY AND AIRPORT RUNWAY PAVEMENT INSPECTION USING MOBILE LiDAR

18 citations as recorded by crossref.

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3. PD-ITS: Pothole Detection Using YOLO Variants for Intelligent Transport System M. Omar & P. Kumar https://doi.org/10.1007/s42979-024-02887-1
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5. Detection of Road Potholes by Applying Convolutional Neural Network Method Based on Road Vibration Data F. Ozoglu & T. Gökgöz https://doi.org/10.3390/s23229023
6. Evaluating Mobile LiDAR Intensity Data for Inventorying Durable Tape Pavement Markings G. Brinster et al. https://doi.org/10.3390/s24206694
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8. Extraction of Variable-Depth Milling Parameters for Asphalt Pavements Based on Point Cloud M. Xia et al. https://doi.org/10.1109/JSEN.2024.3476488
9. Bridge roughness scanned by Dual-Wheeled 3D test vehicle and processed by augmented Kalman filter: Theory and application Z. Li et al. https://doi.org/10.1016/j.compstruc.2024.107581
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12. LiDAR-Based Road Cracking Detection: Machine Learning Comparison, Intensity Normalization, and Open-Source WebGIS for Infrastructure Maintenance N. Pascucci et al. https://doi.org/10.3390/rs17091543
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18. HAVAALANI ESNEK KAPLAMALI PİST YÜZEYİNDE OLUŞAN YÜZEY KUSURLARININ ÇOK KRİTERLİ KARAR VERME YÖNTEMİ İLE ANALİZİ N. Kabakuş & Y. Yıldırım https://doi.org/10.17780/ksujes.1583831