Measurement of International Roughness Index by Using Z‐Axis Accelerometers and GPS Y Du, C Liu, D Wu, S Jiang Mathematical Problems in Engineering 2014 (1), 928980, 2014 | 143 | 2014 |
Velocity control strategies to improve automated vehicle driving comfort Y Du, C Liu, Y Li IEEE Intelligent transportation systems magazine 10 (1), 8-18, 2018 | 98 | 2018 |
Large-scale pavement roughness measurements with vehicle crowdsourced data using semi-supervised learning C Liu, D Wu, Y Li, Y Du Transportation Research Part C: Emerging Technologies 125, 103048, 2021 | 90 | 2021 |
Cross‐scene pavement distress detection by a novel transfer learning framework Y Li, P Che, C Liu, D Wu, Y Du Computer‐Aided Civil and Infrastructure Engineering 36 (11), 1398-1415, 2021 | 88 | 2021 |
Comfortable and energy-efficient speed control of autonomous vehicles on rough pavements using deep reinforcement learning Y Du, J Chen, C Zhao, C Liu, F Liao, CY Chan Transportation Research Part C: Emerging Technologies 134, 103489, 2022 | 68 | 2022 |
Application of vehicle mounted accelerometers to measure pavement roughness Y Du, C Liu, D Wu, S Li International Journal of Distributed Sensor Networks 12 (6), 8413146, 2016 | 63 | 2016 |
Rapid estimation of road friction for anti-skid autonomous driving Y Du, C Liu, Y Song, Y Li, Y Shen IEEE transactions on intelligent transportation systems 21 (6), 2461-2470, 2019 | 62 | 2019 |
Road surface friction prediction using long short-term memory neural network based on historical data Z Pu, C Liu, X Shi, Z Cui, Y Wang Journal of intelligent transportation systems 26 (1), 34-45, 2021 | 46 | 2021 |
Automated pavement distress detection and deterioration analysis using street view map X Lei, C Liu, L Li, G Wang IEEE Access 8, 76163-76172, 2020 | 43 | 2020 |
Deep learning-based pavement subsurface distress detection via ground penetrating radar data Y Li, C Liu, G Yue, Q Gao, Y Du Automation in Construction 142, 104516, 2022 | 37 | 2022 |
A novel approach for pavement texture characterisation using 2D-wavelet decomposition Y Du, Z Weng, F Li, G Ablat, D Wu, C Liu International Journal of Pavement Engineering 23 (6), 1851-1866, 2022 | 32 | 2022 |
Eco-based pavement lifecycle maintenance scheduling optimization for equilibrated networks C Liu, Y Du, SC Wong, G Chang, S Jiang Transportation Research Part D: Transport and Environment 86, 102471, 2020 | 25 | 2020 |
Modeling automatic pavement crack object detection and pixel-level segmentation Y Du, S Zhong, H Fang, N Wang, C Liu, D Wu, Y Sun, M Xiang Automation in Construction 150, 104840, 2023 | 24 | 2023 |
A novel evaluation method for pavement distress based on impact of ride comfort Y Li, C Liu, Y Du, S Jiang International Journal of Pavement Engineering 23 (3), 638-650, 2022 | 21 | 2022 |
Rapid pavement aggregate gradation estimation based on 3D data using a multi-feature fusion network Z Weng, G Ablat, D Wu, C Liu, F Li, Y Du, J Cao Automation in construction 134, 104050, 2022 | 21 | 2022 |
RoadID: a dedicated deep convolutional neural network for multipavement distress detection Y Li, C Liu, Y Shen, J Cao, S Yu, Y Du Journal of Transportation Engineering, Part B: Pavements 147 (4), 04021057, 2021 | 18 | 2021 |
Promoting the pavement skid resistance estimation by extracting tire-contacted texture based on 3D surface data Y Du, B Qin, Z Weng, D Wu, C Liu Construction and Building Materials 307, 124729, 2021 | 18 | 2021 |
Mathematical insights into the relationship between pavement roughness and vehicle vibration C Liu, D Wu, Y Li, S Jiang, Y Du International Journal of Pavement Engineering 23 (6), 1935-1947, 2022 | 17 | 2022 |
A response-type road anomaly detection and evaluation method for steady driving of automated vehicles C Liu, T Nie, Y Du, J Cao, D Wu, F Li IEEE Transactions on Intelligent Transportation Systems 23 (11), 21984-21995, 2022 | 13 | 2022 |
Dynamic pavement distress image stitching based on fine‐grained feature matching Y Du, Z Weng, C Liu, D Wu Journal of Advanced Transportation 2020 (1), 5804835, 2020 | 13 | 2020 |