Yishun Li
- : A cooperative methodology for multi‐roller automation in pavement construction considering trajectory planning and collaborative operation. In: Computer-Aided Civil and Infrastructure Engineering.
- (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).
- (2024): Enabling edge computing ability in view-independent vehicle model recognition. In: International Journal of Transportation Science and Technology, v. 14 (June 2024).
- (2023): Understanding traffic bottlenecks of long freeway tunnels based on a novel location-dependent lighting-related car-following model. In: Tunnelling and Underground Space Technology, v. 136 (June 2023).
- (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).
- (2022): Deep learning-based pavement subsurface distress detection via ground penetrating radar data. In: Automation in Construction, v. 142 (October 2022).
- (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
