Yang Xiang

Prof. Dr. Yang Xiang


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
2 June 2022 in Earthquake Engineering & Structural Dynamics
Verified
Journal Article
Closed access
MWMeng Wang
Meng Wang
YLYan‐Wen Li
Yan‐Wen Li
SNSatish Nagarajaiah
Satish Nagarajaiah
YXYang Xiang
Yang Xiang


1 October 2017 in Engineering Structures
Verified
Journal Article
Closed access
YXYang Xiang
Yang Xiang
YLYong-Feng Luo
Yong-Feng Luo
ZZZhao-Chen Zhu
Zhao-Chen Zhu
ZSZu-Yan Shen
Zu-Yan Shen

1 February 2017 in Soil Dynamics and Earthquake Engineering
Verified
Journal Article
Closed access
YXYang Xiang
Yang Xiang
YLYong-Feng Luo
Yong-Feng Luo
ZSZu-Yan Shen
Zu-Yan Shen

1 December 2016 in Journal of Constructional Steel Research
Verified
Journal Article
Closed access
XGXiaonong Guo
Xiaonong Guo
YZYan Zhang
Yan Zhang
ZXZhe Xiong
Zhe Xiong
YXYang Xiang
Yang Xiang

12 October 2020 in Sensors
Verified
Journal Article
Open access
PDF file
JGJia Guo
Jia Guo
YXYang Xiang
Yang Xiang
KFKohei Fujita
Kohei Fujita
ITIzuru Takewaki
Izuru Takewaki
We propose a new flexible technique for accurate vision-based seismic displacement measurement of building structures via a single non-stationary camera with any perspective view. No a priori information about the camera’s parameters or only partial knowledge of the internal camera parameters is required, and geometric constraints in the world coordinate system are employed for projective rectification in this research. Whereas most projective rectifications are conducted by specifying the positions of four or more fixed reference points, our method adopts a stratified approach to partially determine the projective transformation from line-based geometric relationships on the world plane. Since line features are natural and plentiful in a man-made architectural building environment, robust estimation techniques for automatic projective/affine distortion removal can be applied in a more practical way. Both simulations and real-recorded data were used to verify the effectiveness and robustness of the proposed method. We hope that the proposed method could advance the consumer-grade camera system for vision-based structural measurement one more step, from laboratory environments to real-world structural health monitoring systems.