Masonry structures represent the highest proportion of building stock worldwide. Currently, the structural condition of such structures is predominantly manually inspected which is a laborious, costly and subjective process. With developments in computer visio...

Integrated digital twin and blockchain framework to support accountable information sharing in construction projects

2021 / Automation in Construction / 401 citations

No code

Dongmin Lee, Sang Hyun Lee, Neda Masoud, Mayuram S. Krishnan, Victor C. Li

Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression

2021 / Automation in Construction / 386 citations

No code

Ali Shehadeh, Odey Alshboul, Rabia Emhamed Al Mamlook, Ola Hamedat

Structural crack detection using deep convolutional neural networks

2021 / Automation in Construction / 342 citations

No code

Ali Raza, Joon Huang Chuah, Mohamad Sofian Abu Talip, Norrima Mokhtar, Muhammad Shoaib

Deep learning-based road damage detection and classification for multiple countries

2021 / Automation in Construction / 274 citations

No code

Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mráz, and 2 more

Pavement distress detection using convolutional neural networks with images captured via UAV

2021 / Automation in Construction / 273 citations

No code

Junqing Zhu, Jingtao Zhong, Tao Ma, Xiaoming Huang, Weiguang Zhang, and 1 more

Applications of distributed ledger technology (DLT) and Blockchain-enabled smart contracts in construction

2021 / Automation in Construction / 264 citations

No code

Jennifer Li, Mohamad Kassem

Computer vision applications in construction: Current state, opportunities & challenges

2021 / Automation in Construction / 254 citations

No code

Suman Paneru, Idris Jeelani

Construction payment automation using blockchain-enabled smart contracts and robotic reality capture technologies

2021 / Automation in Construction / 221 citations

No code

Hesam Hamledari, Martin Fischer

Development of BIM, IoT and AR/VR technologies for fire safety and upskilling

2021 / Automation in Construction / 217 citations

No code

Haosen Chen, Lei Hou, Guomin Zhang, Sungkon Moon

Natural language processing for smart construction: Current status and future directions

2021 / Automation in Construction / 215 citations

No code

Chengke Wu, Xiao Li, Yuanjun Guo, Jun Wang, Zengle Ren, and 2 more

Voxel-based representation of 3D point clouds: Methods, applications, and its potential use in the construction industry

2021 / Automation in Construction / 212 citations

No code

Yusheng Xu, Xiaohua Tong, Uwe Stilla

Artificial intelligence applied to conceptual design. A review of its use in architecture

2021 / Automation in Construction / 210 citations

No code

Luz Castro, Adrián Carballal, Nereida Rodríguez-Fernández, Iria Santos, Juan Romero

Conceptual architectural design is a complex process that draws on past experience and creativity to generate new designs. The application of artificial intelligence to this process should not be oriented toward finding a solution in a defined search space sin...

An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of inference

2021 / Automation in Construction / 200 citations

No code

M.Z. Naser

Automated structural design of shear wall residential buildings using generative adversarial networks

2021 / Automation in Construction / 200 citations

No code

Wenjie Liao, Xinzheng Lu, Yuli Huang, Zhe Zheng, Yuanqing Lin

Automated pixel-level pavement distress detection based on stereo vision and deep learning

2021 / Automation in Construction / 192 citations

No code

Jinchao Guan, Xu Yang, Ling Ding, Xiaoyun Cheng, Vincent C. S. Lee, and 1 more