1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2021
Automated Translation of Rebar Information from GPR Data into As-Built BIM: A Deep Learning-based Approach
Zhongming Xiang, Ge Ou, Abbas Rashidi
Building Information Modeling (BIM) is increasingly used in the construction industry, but existing studies often ignore embedded rebars. Ground Penetrating Radar (GPR) provides a…
cs.LG2021
Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference
Mohamadreza Sheibani, Ge Ou
The abundance of training data is not guaranteed in various supervised learning applications. One of these situations is the post-earthquake regional damage assessment of buildings…
eess.IV2020★ 1 cited
An Innovative Approach to Determine Rebar Depth and Size by Comparing GPR Data with a Theoretical Database
Zhongming Xiang, Ge Ou, Abbas Rashidi
Ground penetrating radar (GPR) is an efficient technique used for rapidly recognizing embedded rebar in concrete structures. However, due to the difficulty in extracting signals fr…