Chenglong Liu 
- : A cooperative methodology for multi‐roller automation in pavement construction considering trajectory planning and collaborative operation. In: Computer-Aided Civil and Infrastructure Engineering.
- (2024): Study of the Stress Distribution and a Calculation Model for the Local Bearing Capacity of Concrete Under Headed Bars. In: Buildings, v. 14, n. 11 (22 October 2024).
- (2024): Pavement compactness estimation based on 3D pavement texture features. In: Case Studies in Construction Materials, v. 21 (December 2024).
- (2015): Rapid Accelerometer Measurements of Vehicle Bumps at Bridge Approaches. In: Transportation Research Record: Journal of the Transportation Research Board, v. 2528, n. 1 (January 2015).
- (2024): Advances in automatic identification of road subsurface distress using ground penetrating radar: State of the art and future trends. In: Automation in Construction, v. 158 (February 2024).
- (2023): Modeling automatic pavement crack object detection and pixel-level segmentation. In: Automation in Construction, v. 150 (June 2023).
- (2024): Enabling edge computing ability in view-independent vehicle model recognition. In: International Journal of Transportation Science and Technology, v. 14 (June 2024).
- (2023): Effective pavement skid resistance measurement using multi‐scale textures and deep fusion network. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 8 (26 April 2023).
- (2023): Spatiotemporal matching method for tracking pavement distress using high‐frequency detection data. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 16 (3 October 2023).
- (2022): Deep learning-based pavement subsurface distress detection via ground penetrating radar data. In: Automation in Construction, v. 142 (October 2022).
- (2022): Pavement texture depth estimation using image-based multiscale features. In: Automation in Construction, v. 141 (September 2022).
- (2022): Study on Wear Prediction of Shield Disc Cutter in Hard Rock and Its Application. In: KSCE Journal of Civil Engineering, v. 26, n. 3 (14 January 2022).
- (2022): Rapid pavement aggregate gradation estimation based on 3D data using a multi-feature fusion network. In: Automation in Construction, v. 134 (February 2022).
- (2021): Promoting the pavement skid resistance estimation by extracting tire-contacted texture based on 3D surface data. In: Construction and Building Materials, v. 307 (November 2021).
- (2021): Cross‐scene pavement distress detection by a novel transfer learning framework. In: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 11 (September 2021).
Structurae cooperates with
