Automated Road Sign Inventory System Based on Stereo Vision and Tracking. - Kelvin C. P. Wang; Zhiqiong Hou; Weiguo Gong (Comput. Aided Civ. Infrastructure Eng., 2010)

Pavement Smoothness Prediction Based on Fuzzy and Gray Theories. - Kelvin C. P. Wang; Qiang Li 040 (Comput. Aided Civ. Infrastructure Eng., 2011)

Efficient System of Cracking-Detection Algorithms with 1-mm 3D-Surface Models and Performance Measures. - Allen Zhang 001; Kelvin C. P. Wang; Ran Ji; Joshua Qiang Li (J. Comput. Civ. Eng., 2016)

Bounding Box-Based Technique for Pavement Crack Classification and Measurement Using 1 mm 3D Laser Data. - Lin Li; Kelvin C. P. Wang (J. Comput. Civ. Eng., 2016)

Hybrid Procedure for Automated Detection of Cracking with 3D Pavement Data. - Giuseppe Sollazzo; Kelvin C. P. Wang; Gaetano Bosurgi; Joshua Qiang Li (J. Comput. Civ. Eng., 2016)

The Fast Prefix Coding Algorithm (FPCA) for 3D Pavement Surface Data Compression. - Allen Zhang 001; Kelvin C. P. Wang (Comput. Aided Civ. Infrastructure Eng., 2017)

Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep-Learning Network. - Allen Zhang 001; Kelvin C. P. Wang; Baoxian Li; Enhui Yang; Xianxing Dai; Yi Peng; Yue Fei; Yang Liu 109; Joshua Qiang Li; Cheng Chen 012 (Comput. Aided Civ. Infrastructure Eng., 2017)

3D Shadow Modeling for Detection of Descended Patterns on 3D Pavement Surface. - Allen Zhang 001; Kelvin C. P. Wang; Changfa Ai (J. Comput. Civ. Eng., 2017)

Methodology for Accurate AASHTO PP67-10-Based Cracking Quantification Using 1-mm 3D Pavement Images. - Shi Qiu 005; Wenjuan Wang; Shaofan Wang; Kelvin C. P. Wang (J. Comput. Civ. Eng., 2017)

Cracking Classification Using Minimum Rectangular Cover-Based Support Vector Machine. - Shaofan Wang; Shi Qiu 005; Wenjuan Wang; Danny Xiao; Kelvin C. P. Wang (J. Comput. Civ. Eng., 2017)

Multiway-Based Weigh-in-Motion Data-Clustering Analysis for Pavement ME Design. - Guangwei Yang; Joshua Qiang Li; Kelvin C. P. Wang; Yue Fei; Chaohui Wang (J. Comput. Civ. Eng., 2017)

A Nonballasted Rail Track Slab Crack Identification Method Using a Level-Set-Based Active Contour Model. - Chengbo Ai; Shi Qiu 005; Guiyang Xu; Allen Zhang 001; Kelvin C. P. Wang (Comput. Aided Civ. Infrastructure Eng., 2018)

Pavement Crack Width Measurement Based on Laplace's Equation for Continuity and Unambiguity. - Wenjuan Wang; Allen Zhang 001; Kelvin C. P. Wang; Andrew F. Braham; Shi Qiu 005 (Comput. Aided Civ. Infrastructure Eng., 2018)

Deep Learning-Based Fully Automated Pavement Crack Detection on 3D Asphalt Surfaces with an Improved CrackNet. - Allen Zhang 001; Kelvin C. P. Wang; Yue Fei; Yang Liu 109; Siyu Tao; Cheng Chen 012; Joshua Qiang Li; Baoxian Li (J. Comput. Civ. Eng., 2018)

Detecting Pavement Joints and Grooves with Improved 3D Shadow Modeling. - Allen Zhang 001; Kelvin C. P. Wang; Shi Qiu 005 (J. Comput. Civ. Eng., 2018)

Lane Marking Detection and Reconstruction with Line-Scan Imaging Data. - Lin Li 081; Wenting Luo; Kelvin C. P. Wang (Sensors, 2018)

Automatic Groove Measurement and Evaluation with High Resolution Laser Profiling Data. - Lin Li 081; Wenting Luo; Kelvin C. P. Wang; Guangdong Liu; Chao Zhang (Sensors, 2018)

Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces with a Recurrent Neural Network. - Allen Zhang 001; Kelvin C. P. Wang; Yue Fei; Yang Liu 109; Cheng Chen 012; Guangwei Yang; Joshua Qiang Li; Enhui Yang; Shi Qiu 005 (Comput. Aided Civ. Infrastructure Eng., 2019)

Pixel-Level Cracking Detection on 3D Asphalt Pavement Images Through Deep-Learning- Based CrackNet-V. - Yue Fei; Kelvin C. P. Wang; Allen Zhang 001; Cheng Chen 012; Joshua Qiang Li; Yang Liu 109; Guangwei Yang; Baoxian Li (IEEE Trans. Intell. Transp. Syst., 2020)

Automatic Pavement Type Recognition for Image-Based Pavement Condition Survey Using Convolutional Neural Network. - Guangwei Yang; Kelvin C. P. Wang; Joshua Qiang Li; Yue Fei; Yang Liu 109; Kamyar C. Mahboub; Allen A. Zhang (J. Comput. Civ. Eng., 2021)

Intelligent pixel-level detection of multiple distresses and surface design features on asphalt pavements. - Allen A. Zhang; Kelvin C. P. Wang; Yang Liu 109; You Zhan; Guangwei Yang; Guolong Wang 003; Enhui Yang; Hang Zhang; Zishuo Dong; Anzheng He; Jie Xu; Jing Shang (Comput. Aided Civ. Infrastructure Eng., 2022)

RHA-Net: An Encoder-Decoder Network with Residual Blocks and Hybrid Attention Mechanisms for Pavement Crack Segmentation. - Guijie Zhu; Zhun Fan; Jiacheng Liu 019; Duan Yuan; Peili Ma; Meihua Wang; Weihua Sheng; Kelvin C. P. Wang (CoRR, 2022)

A Novel 0.1 mm 3D Laser Imaging Technology for Pavement Safety Measurement. - Guangwei Yang; Kelvin C. P. Wang; Joshua Qiang Li; Guolong Wang 003 (Sensors, 2022)

Reconstruction of sub-mm 3D pavement images using recursive generative adversarial network for faster texture measurement. - Guolong Wang 003; Kelvin C. P. Wang; Guangwei Yang (Comput. Aided Civ. Infrastructure Eng., 2023)

Automated pixel-level pavement marking detection based on a convolutional transformer. - Hang Zhang; Anzheng He; Zishuo Dong; Allen A. Zhang; Yang Liu 109; You Zhan; Kelvin C. P. Wang; Zhihao Lin (Eng. Appl. Artif. Intell., 2024)

A lightweight encoder-decoder network for automatic pavement crack detection. - Guijie Zhu; Jiacheng Liu 019; Zhun Fan; Duan Yuan; Peili Ma; Meihua Wang; Weihua Sheng; Kelvin C. P. Wang (Comput. Aided Civ. Infrastructure Eng., 2024)

CrackCLF: Automatic Pavement Crack Detection Based on Closed-Loop Feedback. - Chong Li; Zhun Fan; Ying Chen; Huibiao Lin; Laura Moretti; Giuseppe Loprencipe; Weihua Sheng; Kelvin C. P. Wang (IEEE Trans. Intell. Transp. Syst., 2024)

Robust Semantic Segmentation for Automatic Crack Detection Within Pavement Images Using Multi-Mixing of Global Context and Local Image Features. - Hang Zhang; Allen A. Zhang; Zishuo Dong; Anzheng He; Yang Liu 109; You Zhan; Kelvin C. P. Wang (IEEE Trans. Intell. Transp. Syst., 2024)

Intelligent evaluation of pavement friction at high speeds with artificial intelligence powered three-dimensional laser imaging technology. - Guolong Wang 003; Kelvin C. P. Wang; Guangwei Yang (Eng. Appl. Artif. Intell., 2025)