KINECT, A NOVEL CUTTING EDGE TOOL IN PAVEMENT DATA COLLECTION

10 citations as recorded by crossref.

1. Transfer Learning Using Deep Neural Networks for Classification of Truck Body Types Based on Side-Fire Lidar Data R. Vatani Nezafat et al. 10.1007/s42421-019-00005-9
2. A review on pavement data acquisition and analytics tools using autonomous vehicles C. Abdollahi et al. 10.1080/14680629.2023.2237601
3. Estimating Pavement Roughness by Fusing Color and Depth Data Obtained from an Inexpensive RGB-D Sensor A. Mahmoudzadeh et al. 10.3390/s19071655
4. Road Roughness Detection Based on Discrete Kalman Filter Model with Driving Vibration Data Input J. Li et al. 10.1007/s42947-023-00359-y
5. Automated Rutting Measurement Using an Inexpensive RGB-D Sensor Fusion Approach S. Firoozi Yeganeh et al. 10.1061/JPEODX.0000095
6. Inexpensive RGB-D Sensors Performance Measurement in Pavement Data Collection—Part I A. Mahmoudzadeh et al. 10.1109/JSEN.2020.2978395
7. Development of a crowdsourcing-based system for computing the international roughness index Z. Mirtabar et al. 10.1080/10298436.2020.1755434
8. A review on automated pavement distress detection methods T. Coenen et al. 10.1080/23311916.2017.1374822
9. Mean texture depth measurement with an acoustical-based apparatus using cepstral signal processing and support vector machine M. Ganji et al. 10.1016/j.apacoust.2019.107168
10. Automatic pavement rutting measurement by fusing a high speed-shot camera and a linear laser S. Arezoumand et al. 10.1016/j.conbuildmat.2021.122668