Results 91 to 100 of about 402 (155)

Comprehensive image dataset of flexible pavement: Alligator cracks and edge-breaks from national highway (N6) of urban areas. [PDF]

Data Brief
Hossain MN, Aman N, Antor NR, Tasnim N, Azam MZ, Asfaq S.   +5 more
europepmc   +1 more source

Machine learning approaches for predicting preventive maintenance costs of expressways in Xinjiang. [PDF]

PLoS One
Jia C, An J, Ma S, Dai X.
europepmc   +1 more source

Urban road surface crack detection based on U-net and ResNeXt network. [PDF]

PLoS One
Qiao J, Wang H, Zhou Z, Meng Y, Gong M.
europepmc   +1 more source

A BIM-Based Digital Twin Framework for Urban Roads: Integrating MMS and Municipal Geospatial Data for AI-Ready Urban Infrastructure Management. [PDF]

Sensors (Basel)
Scolamiero V, Boccardo P.
europepmc   +1 more source

LRD-DETR: A Lightweight RT-DETR-Based Model for Road Distress Detection. [PDF]

Sensors (Basel)
Dong C, Zhang Y.
europepmc   +1 more source

Intelligent pavement management: a machine learning framework for condition classification and maintenance prioritization. [PDF]

Sci Rep
Gupta B, Agrawal M, Narooka P, Panwar D, Anand S.   +4 more
europepmc   +1 more source

An Improved YOLOv8 Model for Pavement Distress Detection Under Low-Computing-Power Conditions. [PDF]

Sensors (Basel)
Tang Y, Yang Z, Xu Z, Zhou Y, Wang H.
europepmc   +1 more source

Applying a Combination of the YOLOv8 Model and 3D Point Cloud Images in Asphalt Pavement Maintenance. [PDF]

Sensors (Basel)
Wang Y, Yan S, Shi W, Xi C, Shi J, Chi F, Wei J.   +6 more
europepmc   +1 more source

Efficient crack and surface-type recognition via CNN-block development mechanism and edge profiling. [PDF]

Sci Rep
Raza A, Hanif F, Mohammed HA.
europepmc   +1 more source

A real-time detection framework for road cracks in noisy and morphologically complex environments. [PDF]

Sci Rep
Fan L, Tang S, Ariffin MKABM, Ismail MIS.   +3 more
europepmc   +1 more source