Dataset for surface and subsurface characterization of removable urban pavements with a functionalized surface (RUP-FS) using multi-technique measurements. [PDF]
Andreoli G +7 more
europepmc +1 more source
PY-CrackDB: A pavement crack dataset from paraguayan roads for context-aware computer vision models. [PDF]
Ramírez-Villanueva FG +4 more
europepmc +1 more source
Multimodal generative AI for automated pavement condition assessment: Benchmarking model performance. [PDF]
Xu C, Shu L, Dao A, Cui Y.
europepmc +1 more source
A Physics-Guided Quantitative GPR Framework for Detecting Hanging Sleepers in Ballasted Railway Tracks. [PDF]
Yang W, Gao J, Xu Z.
europepmc +1 more source
Real-world road damage dataset with potholes, cracks, and maintenance holes. [PDF]
Giordani E +4 more
europepmc +1 more source
Prediction of pavement performance via smatrphone vibration-induced unevenness signature using machine learning. [PDF]
Wasiq S +3 more
europepmc +1 more source
A lightweight YOLO11n seg framework for real time surface crack detection with segmentation. [PDF]
Tiwari S, Gola KK, Kanauzia R, Gupta GK.
europepmc +1 more source
A Dual-Path CNN and Transformer Network for Continuous Pavement Crack Detection. [PDF]
Zhang J, Sun S, Song W, Li Y, Teng Q.
europepmc +1 more source
Smartphone-based accurate pothole depth estimation using monocular RGB and LiDAR-guided deep learning. [PDF]
Rauf Butt W +5 more
europepmc +1 more source
Deep spatial attention networks for vision-based pavement distress perception in autonomous driving. [PDF]
Deng F, Jin J.
europepmc +1 more source

