Remote sensing of concrete bridge decks using unmanned aerial vehicle infrared thermography

By T. Omar, Moncef L. Nehdi. 2017

251 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Geology, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/26b28f68f2b342aee940e08dd4ecbaeaf211f77b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. R. Thomas
2. Marc Maguire
3. Sattar Dorafshan
4. Necati Catbas
5. Chuan-Zhi Dong

In Geology

1. Ming Liu
2. Yuxiang Sun

Citations in the corpus

• Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete (2018, background): “Previous literature demonstrates several 32 successful applications of image-based inspections to detect cracks [11, 12], spalls [13, 14], delaminations 33 [14, 15, 16], and corrosion [17] in concrete bridges.”
• RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes (2019, background): “Thermal imaging cameras are initially invented for military uses, but the price has dropped down in recent years so that the cameras could be increasingly used in civilian applications, such as remote sensing [16], autonomous surveillance [17] and Advanced Driver Assistance Systems (ADAS) [18].”