Automated pixel‐level pavement crack detection on 3D asphalt surfaces using a deep‐learning network A Zhang, KCP Wang, B Li, E Yang, X Dai, Y Peng, Y Fei, Y Liu, JQ Li, ... Computer‐Aided Civil and Infrastructure Engineering 32 (10), 805-819, 2017 | 873 | 2017 |
Pixel-level cracking detection on 3D asphalt pavement images through deep-learning-based CrackNet-V Y Fei, KCP Wang, A Zhang, C Chen, JQ Li, Y Liu, G Yang, B Li IEEE Transactions on Intelligent Transportation Systems 21 (1), 273-284, 2019 | 256 | 2019 |
Deep learning–based fully automated pavement crack detection on 3D asphalt surfaces with an improved CrackNet A Zhang, KCP Wang, Y Fei, Y Liu, S Tao, C Chen, JQ Li, B Li Journal of Computing in Civil Engineering 32 (5), 04018041, 2018 | 243 | 2018 |
Automated pixel‐level pavement crack detection on 3D asphalt surfaces with a recurrent neural network A Zhang, KCP Wang, Y Fei, Y Liu, C Chen, G Yang, JQ Li, E Yang, S Qiu Computer‐Aided Civil and Infrastructure Engineering 34 (3), 213-229, 2019 | 242 | 2019 |
Automatic classification of pavement crack using deep convolutional neural network B Li, KCP Wang, A Zhang, E Yang, G Wang International Journal of Pavement Engineering 21 (4), 457-463, 2020 | 180 | 2020 |
Matched filtering algorithm for pavement cracking detection A Zhang, Q Li, KCP Wang, S Qiu Transportation research record 2367 (1), 30-42, 2013 | 84 | 2013 |
Deep learning for asphalt pavement cracking recognition using convolutional neural network KCP Wang, A Zhang, JQ Li, Y Fei, C Chen, B Li Airfield and Highway Pavements 2017, 166-177, 2017 | 74 | 2017 |
Pavement crack width measurement based on Laplace's equation for continuity and unambiguity W Wang, A Zhang, KCP Wang, AF Braham, S Qiu Computer‐Aided Civil and Infrastructure Engineering 33 (2), 110-123, 2018 | 65 | 2018 |
Pixel-level pavement crack segmentation with encoder-decoder network Y Tang, AA Zhang, L Luo, G Wang, E Yang Measurement 184, 109914, 2021 | 52 | 2021 |
Convolutional neural network–based friction model using pavement texture data G Yang, QJ Li, Y Zhan, Y Fei, A Zhang Journal of Computing in Civil Engineering 32 (6), 04018052, 2018 | 52 | 2018 |
Automatic segmentation and enhancement of pavement cracks based on 3D pavement images B Li, KCP Wang, A Zhang, Y Fei, G Sollazzo Journal of Advanced Transportation 2019, 2019 | 50 | 2019 |
3D shadow modeling for detection of descended patterns on 3D pavement surface A Zhang, KCP Wang, C Ai Journal of Computing in Civil Engineering 31 (4), 04017019, 2017 | 49 | 2017 |
Multiscale power spectrum analysis of 3D surface texture for prediction of asphalt pavement friction Q Deng, Y Zhan, C Liu, Y Qiu, A Zhang Construction and Building Materials 293, 123506, 2021 | 34 | 2021 |
Intelligent pixel‐level detection of multiple distresses and surface design features on asphalt pavements AA Zhang, KCP Wang, Y Liu, Y Zhan, G Yang, G Wang, E Yang, H Zhang, ... Computer‐Aided Civil and Infrastructure Engineering 37 (13), 1654-1673, 2022 | 32 | 2022 |
Efficient system of cracking-detection algorithms with 1-mm 3D-surface models and performance measures A Zhang, KCP Wang, R Ji, QJ Li Journal of Computing in Civil Engineering 30 (6), 04016020, 2016 | 31 | 2016 |
Automatic pixel‐level crack detection with multi‐scale feature fusion for slab tracks W Ye, J Ren, AA Zhang, C Lu Computer‐Aided Civil and Infrastructure Engineering 38 (18), 2648-2665, 2023 | 29 | 2023 |
An improved differential box counting method to measure fractal dimensions for pavement surface skid resistance evaluation C Liu, Y Zhan, Q Deng, Y Qiu, A Zhang Measurement 178, 109376, 2021 | 27 | 2021 |
Modeling the modulus of bitumen/SBS composite at different temperatures based on kinetic models C Yan, Q Lv, AA Zhang, C Ai, W Huang, D Ren Composites Science and Technology 218, 109146, 2022 | 23 | 2022 |
Random forest–based pavement surface friction prediction using high-resolution 3D image data G Yang, W Yu, QJ Li, K Wang, Y Peng, A Zhang Journal of Testing and Evaluation 49 (2), 1141-1152, 2021 | 23 | 2021 |
Automatic pavement type recognition for image-based pavement condition survey using convolutional neural network G Yang, KCP Wang, JQ Li, Y Fei, Y Liu, KC Mahboub, AA Zhang Journal of Computing in Civil Engineering 35 (1), 04020060, 2021 | 21 | 2021 |