Chuanzhi Dong (董传智)
Chuanzhi Dong (董传智)
Palo Alto Research Center
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Zitiert von
Zitiert von
A review of machine vision-based structural health monitoring: methodologies and applications
XW Ye, CZ Dong, T Liu
Journal of Sensors 2016, 7103039, 2016
A review of computer vision–based structural health monitoring at local and global levels
CZ Dong, FN Catbas
Structural Health Monitoring 20 (2), 692-743, 2020
Vision-based structural displacement measurement: System performance evaluation and influence factor analysis
XW Ye, TH Yi, CZ Dong, T Liu
Measurement 88, 372-384, 2016
Image-based structural dynamic displacement measurement using different multi-object tracking algorithms
XW Ye, CZ Dong, T Liu
Smart Structures and Systems 17 (6), 935-956, 2016
Structural displacement monitoring using deep learning-based full field optical flow methods
CZ Dong, O Celik, FN Catbas, E O'Brien, S Taylor
Structure and Infrastructure Engineering 16 (1), 51-71, 2020
Multi-point displacement monitoring of bridges using a vision-based approach
XW Ye, TH Yi, CZ Dong, T Liu, H Bai
Wind and Structures 20 (2), 315-326, 2015
Identification of structural dynamic characteristics based on machine vision technology
CZ Dong, XW Ye, T Jin
Measurement 126, 405-416, 2018
Marker-free monitoring of the grandstand structures and modal identification using computer vision methods
CZ Dong, O Celik, FN Catbas
Structural Health Monitoring 18 (5-6), 1491-1509, 2019
Force monitoring of steel cables using vision-based sensing technology: methodology and experimental verification
XW Ye, CZ Dong, T Liu
Smart Structures and Systems 18 (3), 585-599, 2016
A computer vision approach for the load time history estimation of lively individuals and crowds
O Celik, CZ Dong, FN Catbas
Computers & Structures 200, 32-52, 2018
Development of elasto-magneto-electric (EME) sensor for in-service cable force monitoring
YF Duan, R Zhang, CZ Dong, YZ Luo, SW Or, Y Zhao, KQ Fan
International Journal of Structural Stability and Dynamics 16 (04), 1640016, 2016
A non-target structural displacement measurement method using advanced feature matching strategy
CZ Dong, FN Catbas
Advances in Structural Engineering 22 (16), 3461-3472, 2019
A completely non-contact recognition system for bridge unit influence line using portable cameras and computer vision
CZ Dong, S Bas, FN Catbas
Smart Structures and Systems 24 (5), 617-630, 2019
A Robust Vision-based Method for Displacement Measurement under Adverse Environmental Factors using Spatio-Temporal Context Learning and Taylor Approximation
CZ Dong, O Celik, N Catbas, E O'Brien, S Taylor
Sensors 19 (14), 3197, 2019
A portable monitoring approach using cameras and computer vision for bridge load rating in smart cities
CZ Dong, S Bas, FN Catbas
Journal of Civil Structural Health Monitoring, …, 2020
Investigation of vibration serviceability of a footbridge using computer vision-based methods
CZ Dong, S Bas, FN Catbas
Engineering Structures 224, 111224, 2020
Review of Computer Vision-based Structural Displacement Monitoring (基于计算机视觉的结构位移监测综述)
XW Ye, CZ Dong
China Journal of Highway and Transport (中国公路学报) 32 (11), 21-39, 2019
A vision for vision-based technologies for bridge health monitoring
N Catbas, CZ Dong, O Celik, T Khuc
Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges …, 2018
Bridge Load Testing for Identifying Live Load Distribution, Load Rating, Serviceability and Dynamic Response
CZ Dong, S Bas, M Debees, N Alver, FN Catbas
Frontiers in Built Environment 6, 46, 2020
Non-contact structural vibration monitoring under varying environmental conditions
CZ Dong, XW Ye, T Liu
Vibroengineering Procedia 5, 217-222, 2015
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