Παρακολούθηση
Chenglong LIU (刘成龙)
Chenglong LIU (刘成龙)
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα tongji.edu.cn - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Measurement of international roughness index by using-axis accelerometers and GPS
Y Du, C Liu, D Wu, S Jiang
Mathematical Problems in Engineering 2014, 2014
1432014
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
982018
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
882021
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
852021
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
642022
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
612019
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
602016
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
442021
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
422020
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
352022
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
312022
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
232020
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
212023
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
212022
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
202022
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
172022
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
172021
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
172021
Dynamic pavement distress image stitching based on fine-grained feature matching
Y Du, Z Weng, C Liu, D Wu
Journal of Advanced Transportation 2020, 1-15, 2020
132020
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
122022
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