TY - JOUR ID - 2775 TI - Pavement Distress Data Collection and 3D Pavement Surface Reconstruction Using Kinect Sensor JO - Amirkabir Journal of Civil Engineering JA - CEEJ LA - en SN - 2588-297X AU - Firoozi Yeganeh, S. AU - Mahmoudzadeh, A. AU - Golroo, A. AU - Jahanshahi, M.R. AD - School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran AD - Zachry Department of Civil Engineering, Texas A&M University, Texas, USA AD - Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran AD - Lyles School of Civil Engineering, Purdue University, West Lafayette, USA Y1 - 2019 PY - 2019 VL - 51 IS - 1 SP - 29 EP - 44 KW - Pavement Management KW - Pavement Data Collection KW - 3D Pavement Surface reconstruction KW - Kinect Sensor DO - 10.22060/ceej.2018.12977.5303 N2 - The most important part in pavement management systems is data collection. The modern technologies which are used for this purpose, such as point-based lasers and laser scanners, are too expensive to purchase, operate, and maintain. Thus, it is rarely feasible for city officials in developing countries to conduct data collection using these devices. This paper aims to introduce a cost-effective technology which can be used for pavement distress data collection and 3D pavement surface reconstruction. The applied technology in this research is the Kinect sensor which is not only cost-effective but also sufficiently precise. The Kinect sensor can register both depth and color images simultaneously. An apparatus is designed and developed to hold an array of Kinect sensors. The cameras are calibrated and the slopes of collected images from surfaces are corrected via the Singular Value Decomposition (SVD) algorithm. Then, a procedure is proposed for stitching the RGB_D (Red Green Blue–Depth) images using SURF (Speeded-up Robust Features) and MSAC (M-estimator SAmple Consensus) algorithms in order to create a 3D-structure of the pavement surface. Finally, transverse profiles are extracted and some field experiments are conducted to evaluate the validity of proposed approach for detecting pavement surface defects. UR - https://ceej.aut.ac.ir/article_2775.html L1 - https://ceej.aut.ac.ir/article_2775_9b9ec1b4b88ac7cf6ae5a896d727eb8a.pdf ER -