HIGHWAY AND AIRPORT RUNWAY PAVEMENT INSPECTION USING MOBILE LiDAR

13 citations as recorded by crossref.

1. Road Condition Monitoring Using Smart Sensing and Artificial Intelligence: A Review E. Ranyal et al. 10.3390/s22083044
2. PD-ITS: Pothole Detection Using YOLO Variants for Intelligent Transport System M. Omar & P. Kumar 10.1007/s42979-024-02887-1
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4. Detection of Road Potholes by Applying Convolutional Neural Network Method Based on Road Vibration Data F. Ozoglu & T. Gökgöz 10.3390/s23229023
5. Evaluating Mobile LiDAR Intensity Data for Inventorying Durable Tape Pavement Markings G. Brinster et al. 10.3390/s24206694
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7. Extraction of Variable-Depth Milling Parameters for Asphalt Pavements Based on Point Cloud M. Xia et al. 10.1109/JSEN.2024.3476488
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10. An extensive bibliometric analysis of pavement deterioration detection using sensors and machine learning: Trends, innovations, and future directions M. Rizelioğlu 10.1016/j.aej.2024.09.097
11. A state-of-the-art assessment in developing advanced concrete materials for airport pavements with improved performance and durability M. Li et al. 10.1016/j.cscm.2024.e03774
12. Applications of using connected vehicle data for pavement quality analysis J. Mahlberg et al. 10.3389/ffutr.2023.1239744
13. Pavement Quality Evaluation Using Connected Vehicle Data J. Mahlberg et al. 10.3390/s22239109