- Pavement compactness estimation based on 3D pavement texture features. In: Case Studies in Construction Materials, v. 21 (Dezember 2024). (2024):
- Rapid Accelerometer Measurements of Vehicle Bumps at Bridge Approaches. In: Transportation Research Record: Journal of the Transportation Research Board, v. 2528, n. 1 (Januar 2015). (2015):
- 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 (Februar 2024). (2024):
- Modeling automatic pavement crack object detection and pixel-level segmentation. In: Automation in Construction, v. 150 (Juni 2023). (2023):
- Enabling edge computing ability in view-independent vehicle model recognition. In: International Journal of Transportation Science and Technology, v. 14 (Juni 2024). (2024):
- 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 Oktober 2023). (2023):
- Deep learning-based pavement subsurface distress detection via ground penetrating radar data. In: Automation in Construction, v. 142 (Oktober 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 Januar 2022). (2022):
- Rapid pavement aggregate gradation estimation based on 3D data using a multi-feature fusion network. In: Automation in Construction, v. 134 (Februar 2022). (2022):
- 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). (2021):