ROADS-Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation. [PDF]
Mei A +5 more
europepmc +1 more source
Pavement condition prediction under small-sample conditions using a particle swarm optimization-based support vector machine. [PDF]
Xu W, Yang Z, Ji Y, Huang P.
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
Prediction of pavement performance via smatrphone vibration-induced unevenness signature using machine learning. [PDF]
Wasiq S +3 more
europepmc +1 more source
Intelligent pavement management: a machine learning framework for condition classification and maintenance prioritization. [PDF]
Gupta B +4 more
europepmc +1 more source
Predictive approach for post-covid 19 evolution study of the pavement surface deterioration based on visual inspection results. [PDF]
Mehdi MA +4 more
europepmc +1 more source
Machine learning approaches for predicting preventive maintenance costs of expressways in Xinjiang. [PDF]
Jia C, An J, Ma S, Dai X.
europepmc +1 more source
The lebaksono - purwojatingoro mojosari city is an industrial road. Various heavy and light vehicles pass through the road, causing road damage. Evaluation of road damage conditions is needed to monitor the level of road damage that occurs on a road ...
Subekti , Yogi Dwi +1 more
core +1 more source
LiDAR-Based Road Surface Damage Classification: A Survey. [PDF]
Greene T +5 more
europepmc +1 more source
Tingginya pertumbuhan lalu lintas sebagai akibat dari pertumbuhan ekonomi dapat menimbulkan masalah yang serius apa bila tidak diimbangi dengan perbaikan mutu dari prasarana jalan yang ada.
Rezza, Muhammad
core

