activity
20172019
most citedThermographic Laplacian-pyramid filtering to enhance delamination detection in concrete structure

28 citations · 55 across the 7 of their papers we have counts for

collaborators

9 papers

eess.IV201923 cited

Bridge Deck Delamination Segmentation Based on Aerial Thermography Through Regularized Grayscale Morphological Reconstruction and Gradient Statistics

Chongsheng Cheng, Zhexiong Shang, Zhigang Shen

Environmental and surface texture-induced temperature variation across the bridge deck is a major source of errors in delamination detection through thermography. This type of exte…

eess.IV201928 cited

Thermographic Laplacian-pyramid filtering to enhance delamination detection in concrete structure

Chongsheng Cheng, Ri Na, Zhigang Shen

Despite decades of efforts using thermography to detect delamination in concrete decks, challenges still exist in removing environmental noise from thermal images. The performance…

eess.IV20191 cited

Enhancing Bridge Deck Delamination Detection Based on Aerial Thermography Through Grayscale Morphologic Reconstruction: A Case Study

Chongsheng Cheng, Zhexiong Shang, Zhigang Shen

Environmental-induced temperature variations across the bridge deck were one of the major factors that degraded the performance of delamination detection through thermography. The…

eess.IV2019

CNN-Based Deep Architecture for Reinforced Concrete Delamination Segmentation Through Thermography

Chongsheng Cheng, Zhexiong Shang, Zhigang Shen

Delamination assessment of the bridge deck plays a vital role for bridge health monitoring. Thermography as one of the nondestructive technologies for delamination detection has th…

cs.RO20191 cited

Vision-model-based Real-time Localization of Unmanned Aerial Vehicle for Autonomous Structure Inspection under GPS-denied Environment

Zhexiong Shang, Zhigang Shen

UAVs have been widely used in visual inspections of buildings, bridges and other structures. In either outdoor autonomous or semi-autonomous flights missions strong GPS signal is v…

cs.CV2019

A Data Fusion Platform for Supporting Bridge Deck Condition Monitoring by Merging Aerial and Ground Inspection Imagery

Zhexiong Shang, Chongsheng Cheng, Zhigang Shen

UAVs showed great efficiency on scanning bridge decks surface by taking a single shot or through stitching a couple of overlaid still images. If potential surface deficits are iden…