Kalliomäki, I.[Ilkka],
Vehtari, A.[Aki],
Lampinen, J.[Jouko],
Shape analysis of concrete aggregates for statistical quality modeling,
MVA(16), No. 3, May 2005, pp. 197-201.
Springer DOI
0505
BibRef
Le Bastard, C.,
Baltazart, V.,
Wang, Y.,
Saillard, J.,
Thin-Pavement Thickness Estimation Using GPR With High-Resolution and
Superresolution Methods,
GeoRS(45), No. 8, August 2007, pp. 2511-2519.
IEEE DOI
0709
BibRef
Bourlier, C.,
Le Bastard, C.,
Baltazart, V.,
Generalization of PILE Method to the EM Scattering From Stratified
Subsurface With Rough Interlayers: Application to the Detection of
Debondings Within Pavement Structure,
GeoRS(53), No. 7, July 2015, pp. 4104-4115.
IEEE DOI
1503
Ground penetrating radar
BibRef
Clemmensen, L.H.[Line H.],
Hansen, M.E.[Michael E.],
Ersbřll, B.K.[Bjarne K.],
A comparison of dimension reduction methods with application to
multi-spectral images of sand used in concrete,
MVA(21), No. 6, October 2010, pp. 959-968.
WWW Link.
1011
BibRef
Elunai, R.,
Chandran, V.,
Gallagher, E.,
Asphalt Concrete Surfaces Macrotexture Determination From Still Images,
ITS(12), No. 3, September 2011, pp. 857-869.
IEEE DOI
1109
BibRef
Suanpaga, W.,
Yoshikazu, K.,
Riding Quality Model for Asphalt Pavement Monitoring Using Phase Array
Type L-band Synthetic Aperture Radar (PALSAR),
RS(2), No. 11, November 2010, pp. 2531-2546.
DOI Link
1203
BibRef
Ndoye, M.,
Barker, A.M.,
Krogmeier, J.V.,
Bullock, D.M.,
A Recursive Multiscale Correlation-Averaging Algorithm for an Automated
Distributed Road-Condition-Monitoring System,
ITS(12), No. 3, September 2011, pp. 795-808.
IEEE DOI
1109
BibRef
Fang, H.,
Lin, G.,
Zhang, R.,
The First-Order Symplectic Euler Method for Simulation of GPR Wave
Propagation in Pavement Structure,
GeoRS(51), No. 1, January 2013, pp. 93-98.
IEEE DOI
1301
BibRef
Murthy, S.B.S.,
Varaprasad, G.,
Detection of potholes in autonomous vehicle,
IET-ITS(8), No. 6, September 2014, pp. 543-549.
DOI Link
1411
collision avoidance
BibRef
Shangguan, P.C.[Peng-Cheng],
Al-Qadi, I.L.,
Calibration of FDTD Simulation of GPR Signal for Asphalt Pavement
Compaction Monitoring,
GeoRS(53), No. 3, March 2015, pp. 1538-1548.
IEEE DOI
1412
asphalt
BibRef
Yi, C.,
Chuang, Y.,
Nian, C.,
Toward Crowdsourcing-Based Road Pavement Monitoring by Mobile Sensing
Technologies,
ITS(16), No. 4, August 2015, pp. 1905-1917.
IEEE DOI
1508
Feature extraction
BibRef
Rajamohan, D.[Deepak],
Gannu, B.[Bhavana],
Rajan, K.S.[Krishnan Sundara],
MAARGHA: A Prototype System for Road Condition and Surface Type
Estimation by Fusing Multi-Sensor Data,
IJGI(4), No. 3, 2015, pp. 1225.
DOI Link
1508
BibRef
Mathavan, S.,
Kamal, K.,
Rahman, M.,
A Review of Three-Dimensional Imaging Technologies for Pavement
Distress Detection and Measurements,
ITS(16), No. 5, October 2015, pp. 2353-2362.
IEEE DOI
1511
Survey, Pavement Analysis.
BibRef
Quintana, M.,
Torres, J.,
Menéndez, J.M.,
A Simplified Computer Vision System for Road Surface Inspection and
Maintenance,
ITS(17), No. 3, March 2016, pp. 608-619.
IEEE DOI
1603
Cameras
BibRef
Zhang, S.[Su],
Lippitt, C.D.[Christopher D.],
Bogus, S.M.[Susan M.],
Neville, P.R.H.[Paul R. H.],
Characterizing Pavement Surface Distress Conditions with
Hyper-Spatial Resolution Natural Color Aerial Photography,
RS(8), No. 5, 2016, pp. 392.
DOI Link
1606
BibRef
Ishikawa, T.[Tsuyoshi],
Fujinami, K.[Kaori],
Smartphone-Based Pedestrian's Avoidance Behavior Recognition towards
Opportunistic Road Anomaly Detection,
IJGI(5), No. 10, 2016, pp. 182.
DOI Link
1610
BibRef
Jang, D.W.,
Park, R.H.,
Pothole detection using spatio-temporal saliency,
IET-ITS(10), No. 9, 2016, pp. 605-612.
DOI Link
1609
asphalt
BibRef
Zaini, N.[Nasrullah],
van der Meer, F.[Freek],
van Ruitenbeek, F.[Frank],
de Smeth, B.[Boudewijn],
Amri, F.[Fadli],
Lievens, C.[Caroline],
An Alternative Quality Control Technique for Mineral Chemistry
Analysis of Portland Cement-Grade Limestone Using Shortwave Infrared
Spectroscopy,
RS(8), No. 11, 2016, pp. 950.
DOI Link
1612
BibRef
Casselgren, J.[Johan],
Bodin, U.[Ulf],
Reusable road condition information system for traffic safety and
targeted maintenance,
IET-ITS(11), No. 4, May 2017, pp. 230-238.
DOI Link
1705
BibRef
González, L.C.,
Moreno, R.,
Escalante, H.J.,
Martínez, F.,
Carlos, M.R.,
Learning Roadway Surface Disruption Patterns Using the Bag of Words
Representation,
ITS(18), No. 11, November 2017, pp. 2916-2928.
IEEE DOI
1711
Accelerometers, Automobiles, Data collection, Roads, Sensors,
Smart phones, Urban areas, Roadway surface disruptions,
accelerometer.
BibRef
Carmon, N.[Nimrod],
Ben-Dor, E.[Eyal],
Mapping Asphaltic Roads' Skid Resistance Using Imaging Spectroscopy,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Carlos, M.R.,
Aragón, M.E.,
González, L.C.,
Escalante, H.J.,
Martínez, F.,
Evaluation of Detection Approaches for Road Anomalies Based on
Accelerometer Readings: Addressing Who's Who,
ITS(19), No. 10, October 2018, pp. 3334-3343.
IEEE DOI
1810
Roads, Accelerometers, Sensors, Support vector machines, Proposals,
Acceleration, Accelerometer measurements, mobile sensing,
road anomalies
BibRef
Zhao, S.,
Al-Qadi, I.L.,
Super-Resolution of 3-D GPR Signals to Estimate Thin Asphalt Overlay
Thickness Using the XCMP Method,
GeoRS(57), No. 2, February 2019, pp. 893-901.
IEEE DOI
1901
Signal resolution, Ground penetrating radar, Dielectric constant,
Antennas, Image resolution, Asphalt, Estimation,
thin asphalt overlay
BibRef
Li, Z.Q.[Zhi-Qiang],
Cheng, C.Q.[Cheng-Qi],
Kwan, M.P.[Mei-Po],
Tong, X.C.[Xiao-Chong],
Tian, S.H.[Shao-Hong],
RETRACTION: Identifying Asphalt Pavement Distress Using UAV LiDAR Point Cloud
Data and Random Forest Classification,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link
1909
BibRef
And:
IJGI(8), No. 1, 2019, pp. xx-yy.
DOI Link
1901
BibRef
Tan, Y.M.[Yu-Min],
Li, Y.X.[Yun-Xin],
UAV Photogrammetry-Based 3D Road Distress Detection,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Fan, R.,
Ozgunalp, U.,
Hosking, B.,
Liu, M.,
Pitas, I.,
Pothole Detection Based on Disparity Transformation and Road Surface
Modeling,
IP(29), No. 1, 2020, pp. 897-908.
IEEE DOI
1910
BibRef
And:
Corrections:
IP(29), 2020, pp. 3091-3091.
IEEE DOI
2002
Pothole detection, road surface modeling.
Roads, Surface treatment,
Surface reconstruction, Detection algorithms, Sea surface,
surface normal
BibRef
Yang, W.W.[Wen-Wei],
Finite element model of concrete material based on CT image
processing technology,
JVCIR(64), 2019, pp. 102631.
Elsevier DOI
1911
CT image, Numerical model, Concrete, Failure process
BibRef
Cheng, L.[Lushan],
Zhang, X.[Xu],
Shen, J.[Jie],
Road surface condition classification using deep learning,
JVCIR(64), 2019, pp. 102638.
Elsevier DOI
1911
Deep learning, Road condition, Activation function,
Image recognition, Intelligent driving
BibRef
Hadavandsiri, Z.[Zahra],
Lichti, D.D.[Derek D.],
Jahraus, A.[Adam],
Jarron, D.[David],
Concrete Preliminary Damage Inspection by Classification of
Terrestrial Laser Scanner Point Clouds through Systematic Threshold
Definition,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Mohammadi, M.E.[Mohammad Ebrahim],
Wood, R.L.[Richard L.],
Wittich, C.E.[Christine E.],
Non-Temporal Point Cloud Analysis for Surface Damage in Civil
Structures,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link
1912
BibRef
de Blasiis, M.R.[Maria Rosaria],
di Benedetto, A.[Alessandro],
Fiani, M.[Margherita],
Mobile Laser Scanning Data for the Evaluation of Pavement Surface
Distress,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Kashiyama, T.[Takehiro],
Sekimoto, Y.[Yoshihide],
Seto, T.[Toshikazu],
Lwin, K.K.[Ko Ko],
Analyzing Road Coverage of Public Vehicles According to Number and
Time Period for Installation of Road Inspection Systems,
IJGI(9), No. 3, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Pu, Z.Y.[Zi-Yuan],
Cui, Z.Y.[Zhi-Yong],
Wang, S.[Shuo],
Li, Q.[Qianmu],
Wang, Y.H.[Yin-Hai],
Time-aware gated recurrent unit networks for forecasting road surface
friction using historical data with missing values,
IET-ITS(14), No. 4, April 2020, pp. 213-219.
DOI Link
2004
BibRef
Meyer, F.J.[Franz J.],
Ajadi, O.A.[Olaniyi A.],
Hoppe, E.J.[Edward J.],
Studying the Applicability of X-Band SAR Data to the Network-Scale
Mapping of Pavement Roughness on US Roads,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Zou, L.,
Yi, L.,
Sato, M.,
On the Use of Lateral Wave for the Interlayer Debonding Detecting in
an Asphalt Airport Pavement Using a Multistatic GPR System,
GeoRS(58), No. 6, June 2020, pp. 4215-4224.
IEEE DOI
2005
Asphalt airport pavement, common midpoint (CMP),
ground-penetrating radar (GPR), interlayer debonding detection,
nondestructive inspection
BibRef
Du, Y.,
Liu, C.,
Song, Y.,
Li, Y.,
Shen, Y.,
Rapid Estimation of Road Friction for Anti-Skid Autonomous Driving,
ITS(21), No. 6, June 2020, pp. 2461-2470.
IEEE DOI
2006
Roads, Friction, Resistance, Electrical resistance measurement,
Standards, Autonomous vehicles, Immune system, Autonomous vehicle,
velocity control
BibRef
Rodés, J.P.[Josep Pedret],
Reguero, A.M.[Adriana Martínez],
Pérez-Gracia, V.[Vega],
GPR Spectra for Monitoring Asphalt Pavements,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Dhiman, A.,
Klette, R.,
Pothole Detection Using Computer Vision and Learning,
ITS(21), No. 8, August 2020, pp. 3536-3550.
IEEE DOI
2008
Roads, Image reconstruction, Shape,
Accelerometers, Cameras,
deep learning
BibRef
Fan, R.,
Liu, M.,
Road Damage Detection Based on Unsupervised Disparity Map
Segmentation,
ITS(21), No. 11, November 2020, pp. 4906-4911.
IEEE DOI
2011
Roads, Image segmentation, Cameras, Sensors, numerical solution
BibRef
Fan, R.[Rui],
Ozgunalp, U.[Umar],
Wang, Y.[Yuan],
Liu, M.[Ming],
Pitas, I.[Ioannis],
Rethinking Road Surface 3-D Reconstruction and Pothole Detection:
From Perspective Transformation to Disparity Map Segmentation,
Cyber(52), No. 7, July 2022, pp. 5799-5808.
IEEE DOI
2207
Roads, Surface morphology, Sensors, Cameras, Surface reconstruction,
Estimation, Disparity map transformation,
simple linear iterative clustering
BibRef
Mattheuwsen, L.[Lukas],
Vergauwen, M.[Maarten],
Manhole Cover Detection on Rasterized Mobile Mapping Point Cloud Data
Using Transfer Learned Fully Convolutional Neural Networks,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Özdemir, O.B.[Okan Bilge],
Soydan, H.[Hilal],
Çetin, Y. .Y.[Yasemin Yardimci],
Düzgün, H.S.[Hafize Sebnem],
Neural Network Based Pavement Condition Assessment with Hyperspectral
Images,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Mettas, C.[Christodoulos],
Evagorou, E.[Evagoras],
Agapiou, A.[Athos],
Hadjimitsis, D.[Diofantos],
The Use of Colorimeters to Support Remote Sensing Techniques on
Asphalt Pavements,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Fiorentini, N.[Nicholas],
Maboudi, M.[Mehdi],
Leandri, P.[Pietro],
Losa, M.[Massimo],
Gerke, M.[Markus],
Surface Motion Prediction and Mapping for Road Infrastructures
Management by PS-InSAR Measurements and Machine Learning Algorithms,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Liu, Z.[Zhen],
Wu, W.X.[Wen-Xiu],
Gu, X.Y.[Xing-Yu],
Li, S.W.[Shu-Wei],
Wang, L.[Lutai],
Zhang, T.J.[Tian-Jie],
Application of Combining YOLO Models and 3D GPR Images in Road
Detection and Maintenance,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Pan, J.,
Sun, M.,
Wang, Y.,
Le Bastard, C.,
Baltazart, V.,
Time-Delay Estimation by a Modified Orthogonal Matching Pursuit
Method for Rough Pavement,
GeoRS(59), No. 4, April 2021, pp. 2973-2981.
IEEE DOI
2104
Ground penetrating radar, Matching pursuit algorithms,
Estimation, Frequency measurement, Media, Data models,
time-delay estimation (TDE)
BibRef
Dérobert, X.[Xavier],
Baltazart, V.[Vincent],
Simonin, J.M.[Jean-Michel],
Todkar, S.S.[Shreedhar Savant],
Norgeot, C.[Christophe],
Hui, H.Y.[Ho-Yan],
GPR Monitoring of Artificial Debonded Pavement Structures throughout
Its Life Cycle during Accelerated Pavement Testing,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Shen, R.Q.[Rui-Qing],
Zhao, Y.H.[Yong-Hui],
Hu, S.F.[Shu-Fan],
Li, B.[Bo],
Bi, W.[Wenda],
Reverse-Time Migration Imaging of Ground-Penetrating Radar in NDT of
Reinforced Concrete Structures,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Xu, J.C.[Jun-Cai],
Zhang, J.K.[Jing-Kui],
Sun, W.G.[Wei-Gang],
Recognition of the Typical Distress in Concrete Pavement Based on GPR
and 1D-CNN,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Diamanti, N.[Nectaria],
Annan, A.P.[A. Peter],
Jackson, S.R.[Steven R.],
Klazinga, D.[Dylan],
A GPR-Based Pavement Density Profiler: Operating Principles and
Applications,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Bhattacharya, G.[Gaurab],
Mandal, B.[Bappaditya],
Puhan, N.B.[Niladri B.],
Interleaved Deep Artifacts-Aware Attention Mechanism for Concrete
Structural Defect Classification,
IP(30), 2021, pp. 6957-6969.
IEEE DOI
2108
Feature extraction, Concrete, Aggregates,
Inspection, Monitoring, Meteorology, Fine-grained dense module,
multi-target multi-class classification
BibRef
Bhattacharya, G.[Gaurab],
Mandal, B.[Bappaditya],
Puhan, N.B.[Niladri B.],
Multi-Deformation Aware Attention Learning for Concrete Structural
Defect Classification,
CirSysVideo(31), No. 9, September 2021, pp. 3707-3713.
IEEE DOI
2109
Feature extraction, Corrosion, Bars, Tensile stress, Data mining,
Distance measurement,
multi-target multi-class classification
BibRef
Tankeu, B.T.[Bachir Tchana],
Baltazart, V.[Vincent],
Wang, Y.[Yide],
Guilbert, D.[David],
PUMA Applied to Time Delay Estimation for Processing GPR Data over
Debonded Pavement Structures,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Rasol, M.[Mezgeen],
Schmidt, F.[Franziska],
Ientile, S.[Silvia],
Adelaide, L.[Lucas],
Nedjar, B.[Boumediene],
Kane, M.[Malal],
Chevalier, C.[Christophe],
Progress and Monitoring Opportunities of Skid Resistance in Road
Transport: A Critical Review and Road Sensors,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Song, Y.Z.[Yong-Ze],
Wu, P.[Peng],
Gilmore, D.[Daniel],
Li, Q.[Qindong],
A Spatial Heterogeneity-Based Segmentation Model for Analyzing Road
Deterioration Network Data in Multi-Scale Infrastructure Systems,
ITS(22), No. 11, November 2021, pp. 7073-7083.
IEEE DOI
2112
Roads, Monitoring, Australia, Data models, Data analysis,
Spatial databases, Image segmentation,
spatial analysis
BibRef
Fan, R.[Rui],
Wang, H.L.[Heng-Li],
Wang, Y.[Yuan],
Liu, M.[Ming],
Pitas, I.[Ioannis],
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole
Detection: A Benchmark and Algorithms,
IP(30), 2021, pp. 8144-8154.
IEEE DOI
2110
Roads, Image segmentation, Semantics,
Convolutional neural networks, Feature extraction,
graph neural network
BibRef
Cao, Q.Q.[Qing-Qing],
Al-Qadi, I.L.[Imad L.],
Effect of Moisture Content on Calculated Dielectric Properties of
Asphalt Concrete Pavements from Ground-Penetrating Radar Measurements,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Chen, C.[Cheng],
Chandra, S.[Sindhu],
Han, Y.F.[Yu-Fan],
Seo, H.[Hyungjoon],
Deep Learning-Based Thermal Image Analysis for Pavement Defect
Detection and Classification Considering Complex Pavement Conditions,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Simonin, J.M.[Jean-Michel],
Piau, J.M.[Jean-Michel],
Le-Boursicault, V.[Vinciane],
Freitas, M.[Murilo],
Orthogonal Set of Indicators for the Assessment of Flexible Pavement
Stiffness from Deflection Monitoring: Theoretical Formalism and
Numerical Study,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Zhang, L.L.[Liang-Liang],
Wang, L.[Lin],
Yang, B.[Bo],
Niu, S.[Sijie],
Han, Y.M.[Ya-Min],
Oh, S.K.[Sung-Kwun],
Rapid construction of 4D high-quality microstructural image for
cement hydration using partial information registration,
PR(124), 2022, pp. 108471.
Elsevier DOI
2203
Cement hydration, Rapid image construction, Image registration,
Particle swarm optimization, Microstructural temporal image sequences
BibRef
Chen, Y.H.[Yi-Han],
Gu, X.Y.[Xing-Yu],
Liu, Z.[Zhen],
Liang, J.[Jia],
A Fast Inference Vision Transformer for Automatic Pavement Image
Classification and Its Visual Interpretation Method,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Ling, J.Y.[Jian-Yu],
Qian, R.Y.[Rong-Yi],
Shang, K.[Ke],
Guo, L.Y.[Lin-Yan],
Zhao, Y.[Yu],
Liu, D.Y.[Dong-Yi],
Research on the Dynamic Monitoring Technology of Road Subgrades with
Time-Lapse Full-Coverage 3D Ground Penetrating Radar (GPR),
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Daraghmi, Y.A.[Yousef-Awwad],
Wu, T.H.[Tsung-Hsiang],
Ik, T.U.[Tsě-Uí],
Crowdsourcing-Based Road Surface Evaluation and Indexing,
ITS(23), No. 5, May 2022, pp. 4164-4175.
IEEE DOI
2205
Roads, Rough surfaces, Surface roughness, Monitoring, Smart phones,
Vibrations, Standards, Crowdsourcing, road roughness,
power spectral density
BibRef
Ahmed, A.[Adeel],
Ashfaque, M.[Moeez],
Ulhaq, M.U.[Muhammad Uzair],
Mathavan, S.[Senthan],
Kamal, K.[Khurram],
Rahman, M.[Mujib],
Pothole 3D Reconstruction With a Novel Imaging System and Structure
From Motion Techniques,
ITS(23), No. 5, May 2022, pp. 4685-4694.
IEEE DOI
2205
Cameras, Roads, Image reconstruction,
Surface reconstruction, Measurement by laser beam,
metrology
BibRef
Chen, Z.P.[Zhi-Peng],
Li, Q.Q.[Qing-Quan],
Xue, W.X.[Wei-Xin],
Zhang, D.[Dejin],
Xiong, S.[Siting],
Yin, Y.[Yu],
Lv, S.[Shiwang],
Rapid Inspection of Large Concrete Floor Flatness Using Wheeled Robot
with Aided-INS,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Vassilev, V.[Vessen],
Road Surface Recognition at mm-Wavelengths Using a Polarimetric Radar,
ITS(23), No. 7, July 2022, pp. 6985-6990.
IEEE DOI
2207
Surface roughness, Rough surfaces, Ice, Coherence,
Scattering parameters, Radar, Radar polarimetry, Radar polarimetry,
target entropy
BibRef
Vassilev, V.[Vessen],
Road Surface Characterization Using a 77-81 GHz Polarimetric Radar,
ITS(25), No. 9, September 2024, pp. 12829-12834.
IEEE DOI
2409
Surface roughness, Rough surfaces, Entropy, Scattering, Roads, Radar,
Radar polarimetry, Radar polarimetry, ice,
target entropy
BibRef
Tang, W.H.[Wen-Hao],
Huang, S.[Sheng],
Zhao, Q.M.[Qi-Ming],
Li, R.[Ren],
Huangfu, L.[Luwen],
An Iteratively Optimized Patch Label Inference Network for Automatic
Pavement Distress Detection,
ITS(23), No. 7, July 2022, pp. 8652-8661.
IEEE DOI
2207
Diseases, Task analysis, Roads, Object detection, Feature extraction,
Image segmentation, Image resolution,
object localization
BibRef
Sun, M.[Meng],
Pan, J.J.[Jing-Jing],
Wang, Y.[Yide],
Zhang, X.F.[Xiao-Fei],
Xiao, X.T.[Xiao-Ting],
Fauchard, C.[Cyrille],
Bastard, C.L.[Cédric Le],
Time-Delay Estimation by Enhanced Orthogonal Matching Pursuit Method
for Thin Asphalt Pavement With Similar Permittivity,
ITS(23), No. 7, July 2022, pp. 8940-8948.
IEEE DOI
2207
Asphalt, Permittivity, Matching pursuit algorithms, Estimation,
Media, Matrix decomposition, Task analysis, Pavement survey,
orthogonal matching pursuit (OMP)
BibRef
Zhang, B.[Bin],
Zhao, H.[Hua],
Tan, C.J.[Cheng-Jun],
OBrien, E.J.[Eugene J.],
Fitzgerald, P.C.[Paul C.],
Kim, C.W.[Chul-Woo],
Laboratory Investigation on Detecting Bridge Scour Using the Indirect
Measurement from a Passing Vehicle,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Souriou, D.[David],
Kadkhodazadeh, S.[Sima],
Dérobert, X.[Xavier],
Guilbert, D.[David],
Ihamouten, A.[Amine],
Experimental Parametric Study of a Functional-Magnetic Material
Designed for the Monitoring of Corrosion in Reinforced Concrete
Structures,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Dong, H.W.[Hong-Wen],
Song, K.C.[Ke-Chen],
Wang, Y.Y.[Yan-Yan],
Yan, Y.H.[Yun-Hui],
Jiang, P.[Peng],
Automatic Inspection and Evaluation System for Pavement Distress,
ITS(23), No. 8, August 2022, pp. 12377-12387.
IEEE DOI
2208
Image segmentation, Feature extraction, Inspection,
Convolutional neural networks, Roads, Costs, Training,
guidance attention
BibRef
Wang, D.Y.[Dan-Yu],
Liu, Z.[Zhen],
Gu, X.Y.[Xing-Yu],
Wu, W.X.[Wen-Xiu],
Chen, Y.H.[Yi-Han],
Wang, L.T.[Lu-Tai],
Automatic Detection of Pothole Distress in Asphalt Pavement Using
Improved Convolutional Neural Networks,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Elseicy, A.[Ahmed],
Alonso-Díaz, A.[Alex],
Solla, M.[Mercedes],
Rasol, M.[Mezgeen],
Santos-Assunçao, S.[Sonia],
Combined Use of GPR and Other NDTs for Road Pavement Assessment: An
Overview,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Chen, H.[Hui],
Jin, W.[Wuyin],
Xuan, J.[Jiamin],
Data Analysis for Dynamics of Cooperative Bridge-Vehicle System
Considering Pavement Roughness and Separation,
ITS(23), No. 9, September 2022, pp. 16820-16832.
IEEE DOI
2209
Tires, Vehicle dynamics, Bridges, Nonlinear dynamical systems, Roads,
Numerical models, Analytical models,
radial nonlinear multi-spring-damper tire (RNMST)
BibRef
Ma, Y.[Yuan],
Chen, F.[Feng],
Ma, T.[Tao],
Huang, X.M.[Xiao-Ming],
Zhang, Y.[Yang],
Intelligent Compaction: An Improved Quality Monitoring and Control of
Asphalt Pavement Construction Technology,
ITS(23), No. 9, September 2022, pp. 14875-14882.
IEEE DOI
2209
Compaction, Asphalt, Indexes, Harmonic analysis, Vibrations, Rocks,
Roads, Compaction uniformity, evaluation index of compaction,
semivariogram
BibRef
Bridgelall, R.[Raj],
Characterizing Ride Quality With a Composite Roughness Index,
ITS(23), No. 9, September 2022, pp. 15288-15297.
IEEE DOI
2209
Indexes, Rough surfaces, Smart phones, Roads, ISO Standards,
Data collection, Standards, International roughness index,
vehicle design
BibRef
Bhattacharya, G.[Gaurab],
Puhan, N.B.,
Mandal, B.[Bappaditya],
Kernelized dynamic convolution routing in spatial and channel
interaction for attentive concrete defect recognition,
SP:IC(108), 2022, pp. 116818.
Elsevier DOI
2209
Kernel salient feature encoder, Spatial-channel attention,
Concrete structural defect, Convolutional neural network,
Multi-target multi-class classification
BibRef
Miwa, T.[Takashi],
Nakazawa, Y.[Yuri],
Nondestructive Evaluation of Localized Rebar Corrosion in Concrete
Using Vibro-Radar Based on Pulse Doppler Imaging,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Li, N.[Nansha],
Wu, R.B.[Ren-Biao],
Li, H.F.[Hai-Feng],
Wang, H.C.[Huai-Chao],
Gui, Z.C.[Zhong-Cheng],
Song, D.Z.[De-Zhen],
MV-GPRNet: Multi-View Subsurface Defect Detection Network for Airport
Runway Inspection Based on GPR,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Zhao, L.[Langyue],
Wu, Y.Q.[Yi-Quan],
Luo, X.D.[Xu-Dong],
Yuan, Y.[Yubin],
Automatic Defect Detection of Pavement Diseases,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Ganguly, B.[Biswarup],
Dey, D.[Debangshu],
Munshi, S.[Sugata],
An Unsupervised Learning Approach for Road Anomaly Segmentation Using
RGB-D Sensor for Advanced Driver Assistance System,
ITS(23), No. 10, October 2022, pp. 19042-19053.
IEEE DOI
2210
Roads, Image segmentation, Anomaly detection,
Unsupervised learning, Vehicles, Real-time systems
BibRef
Abdelraouf, A.[Amr],
Abdel-Aty, M.[Mohamed],
Wu, Y.[Yina],
Using Vision Transformers for Spatial-Context-Aware Rain and Road
Surface Condition Detection on Freeways,
ITS(23), No. 10, October 2022, pp. 18546-18556.
IEEE DOI
2210
Rain, Meteorology, Roads, Transformers, Feature extraction,
Task analysis, Rain detection, road surface condition detection,
sequence-to-sequence detection
BibRef
Kim, J.W.[Jae-Wook],
Kim, E.[Eunkyung],
Kim, D.[Dongwan],
A Black Ice Detection Method Based on 1-Dimensional CNN Using mmWave
Sensor Backscattering,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Dong, Q.[Qiao],
Chen, X.Q.[Xue-Qin],
Dong, S.[Shi],
Ni, F.[Fujian],
Data Analysis in Pavement Engineering: An Overview,
ITS(23), No. 11, November 2022, pp. 22020-22039.
IEEE DOI
2212
Mathematical models, Predictive models, Data analysis, Data models,
Indexes, Optical sensors, Feature extraction, Pavement, supervised learning
BibRef
Ma, X.Y.[Xian-Yong],
Dong, Z.J.[Ze-Jiao],
Dong, Y.K.[Yong-Kang],
Toward Asphalt Pavement Health Monitoring With Built-In Sensors: A
Novel Application to Real-Time Modulus Evaluation,
ITS(23), No. 11, November 2022, pp. 22040-22052.
IEEE DOI
2212
Sensors, Asphalt, Real-time systems, Monitoring, Mechanical sensors,
Layout, Strain, Asphalt pavement, modulus evaluation,
multi-layered medium
BibRef
Deng, Y.[Yong],
Shi, X.M.[Xian-Ming],
An Accurate, Reproducible and Robust Model to Predict the Rutting of
Asphalt Pavement: Neural Networks Coupled With Particle Swarm
Optimization,
ITS(23), No. 11, November 2022, pp. 22063-22072.
IEEE DOI
2212
Predictive models, Correlation, Computational modeling,
Data models, Artificial neural networks, Analytical models, robustness
BibRef
Song, Y.[Yang],
Wang, Y.Z.D.[Yi-Zhuang David],
Hu, X.B.[Xian-Biao],
Liu, J.[Jenny],
An Efficient and Explainable Ensemble Learning Model for Asphalt
Pavement Condition Prediction Based on LTPP Dataset,
ITS(23), No. 11, November 2022, pp. 22084-22093.
IEEE DOI
2212
Predictive models, Rough surfaces, Data models, Training,
Radio frequency, Asphalt, Indexes, Asphalt pavement,
long-term pavement performance (LTPP)
BibRef
Yao, L.Y.[Lin-Yi],
Leng, Z.[Zhen],
Jiang, J.[Jiwang],
Ni, F.[Fujian],
Large-Scale Maintenance and Rehabilitation Optimization for
Multi-Lane Highway Asphalt Pavement: A Reinforcement Learning
Approach,
ITS(23), No. 11, November 2022, pp. 22094-22105.
IEEE DOI
2212
Optimization, Costs, Maintenance engineering, Roads,
Biological system modeling, Uncertainty, Indexes,
managerial flexibility
BibRef
Luo, X.[Xue],
Wang, H.[Hang],
Deng, Y.[Yong],
Li, H.[Hui],
Automatic Inverse Analysis of Asphalt Pavement Field Aging Based on
System Identification,
ITS(23), No. 11, November 2022, pp. 22106-22115.
IEEE DOI
2212
Aging, Asphalt, Mathematical models, Predictive models,
Kinetic theory, Analytical models, Databases, Inverse problems,
asphalt pavement
BibRef
Tan, Y.Q.[Yi-Qiu],
Liang, Z.[Zundong],
Xu, H.[Huining],
Xing, C.[Chao],
Research on Rutting Deformation Monitoring Method Based on
Intelligent Aggregate,
ITS(23), No. 11, November 2022, pp. 22116-22126.
IEEE DOI
2212
Aggregates, Asphalt, Strain, Monitoring, Compaction, Loading,
Correlation, Intelligent aggregate (IA), asphalt pavement,
attitude signal law
BibRef
Zhao, J.[Jingnan],
Wang, H.[Hao],
Chen, Y.H.[Yu-Heng],
Huang, M.F.[Ming-Fang],
Detection of Road Surface Anomaly Using Distributed Fiber Optic
Sensing,
ITS(23), No. 11, November 2022, pp. 22127-22134.
IEEE DOI
2212
Roads, Sensors, Support vector machines, Feature extraction,
Optical imaging, Convolutional neural networks, Transforms, DFOS,
CNN
BibRef
Liang, X.M.[Xing-Min],
Yu, X.[Xin],
Chen, C.[Chen],
Jin, Y.[Yong],
Huang, J.D.[Jian-Dong],
Automatic Classification of Pavement Distress Using 3D
Ground-Penetrating Radar and Deep Convolutional Neural Network,
ITS(23), No. 11, November 2022, pp. 22269-22277.
IEEE DOI
2212
Convolutional neural networks, Radar, Feature extraction,
Radar imaging, Maintenance engineering, Roads, Pavement distress,
automatic classification
BibRef
Kadkhodazadeh, S.[Sima],
Ihamouten, A.[Amine],
Souriou, D.[David],
Dérobert, X.[Xavier],
Guilbert, D.[David],
Parametric Study to Evaluate the Geometry and Coupling Effect on the
Efficiency of a Novel FMM Tool Embedded in Cover Concrete for
Corrosion Monitoring,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Wang, Y.Z.[Yuan-Zheng],
Qin, H.[Hui],
Miao, F.[Feng],
A Multi-Path Encoder Network for GPR Data Inversion to Improve Defect
Detection in Reinforced Concrete,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Wang, X.[Xue],
Shen, S.H.[Shi-Hui],
Huang, H.[Hai],
Zhang, W.G.[Wei-Guang],
In-Situ Modulus Determination Using Dispersion Curves Developed From
the Deflection-Time History Data,
ITS(23), No. 11, November 2022, pp. 22053-22062.
IEEE DOI
2212
Dispersion, Surface waves, Asphalt, Sensors, History, Receivers,
Transportation, In-situ modulus, nondestructive testing,
falling weight deflectometer (FWD)
BibRef
Zeng, M.Y.[Meng-Yuan],
Zhao, H.[Hongduo],
Gao, D.C.[Da-Chen],
Bian, Z.Y.[Ze-Ying],
Wu, D.F.[Di-Fei],
Reconstruction of Vehicle-Induced Vibration on Concrete Pavement
Using Distributed Fiber Optic,
ITS(23), No. 12, December 2022, pp. 24305-24317.
IEEE DOI
2212
Vibrations, Monitoring, Vibration measurement, Optical sensors,
Optical variables measurement, Loading, Power cables, Pavement,
accelerated pavement test
BibRef
Chen, X.[Xiao],
Zhang, X.F.[Xian-Feng],
Li, J.[Jonathan],
Ren, M.[Miao],
Zhou, B.[Bo],
A New Method for Automated Monitoring of Road Pavement Aging
Conditions Based on Recurrent Neural Network,
ITS(23), No. 12, December 2022, pp. 24510-24523.
IEEE DOI
2212
Aging, Roads, Monitoring, Asphalt, Satellites, Deep learning, Indexes,
Remote sensing, recurrent neural network, multispectral imagery
BibRef
Li, Y.[Yishun],
Liu, C.L.[Cheng-Long],
Gao, Q.[Qian],
Wu, D.F.[Di-Fei],
Li, F.[Feng],
Du, Y.C.[Yu-Chuan],
ConTrack Distress Dataset: A Continuous Observation for Pavement
Deterioration Spatio-Temporal Analysis,
ITS(23), No. 12, December 2022, pp. 25004-25017.
IEEE DOI
2212
Roads, Feature extraction, Rough surfaces, Indexes, Deep learning,
Asphalt, Aggregates, Pavement distress, deep learning,
pavement deterioration analysis
BibRef
Chen, N.[Ning],
Xu, Z.J.[Zi-Jin],
Liu, Z.[Zhuo],
Chen, Y.H.[Yi-Han],
Miao, Y.H.[Ying-Hao],
Li, Q.H.[Qiu-Han],
Hou, Y.[Yue],
Wang, L.B.[Lin-Bing],
Data Augmentation and Intelligent Recognition in Pavement Texture
Using a Deep Learning,
ITS(23), No. 12, December 2022, pp. 25427-25436.
IEEE DOI
2212
Deep learning, Training, Roads, Feature extraction, Random forests,
Generative adversarial networks, Data models, Data augmentation,
autonomous driving
BibRef
Su, B.[Binyi],
Zhang, H.[Hua],
Wu, Z.H.[Zhao-Hui],
Zhou, Z.[Zhong],
FSRDD: An Efficient Few-Shot Detector for Rare City Road Damage
Detection,
ITS(23), No. 12, December 2022, pp. 24379-24388.
IEEE DOI
2212
Roads, Detectors, Feature extraction, Prototypes, Proposals, Training,
Measurement, Road damage, deep learning, few-shot detection, fine-tuning
BibRef
Al Duhayyim, M.[Mesfer],
Malibari, A.A.[Areej A.],
Alharbi, A.[Abdullah],
Afef, K.[Kallekh],
Yafoz, A.[Ayman],
Alsini, R.[Raed],
Alghushairy, O.[Omar],
Mohsen, H.[Heba],
Road Damage Detection Using the Hunger Games Search with Elman Neural
Network on High-Resolution Remote Sensing Images,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Jafari, F.[Faezeh],
Dorafshan, S.[Sattar],
Comparison between Supervised and Unsupervised Learning for
Autonomous Delamination Detection Using Impact Echo,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
detect subsurface delamination in reinforced concrete bridge decks.
BibRef
Gagliardi, V.[Valerio],
Tosti, F.[Fabio],
Ciampoli, L.B.[Luca Bianchini],
Battagliere, M.L.[Maria Libera],
d'Amato, L.[Luigi],
Alani, A.M.[Amir M.],
Benedetto, A.[Andrea],
Satellite Remote Sensing and Non-Destructive Testing Methods for
Transport Infrastructure Monitoring:
Advances, Challenges and Perspectives,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link
2301
More general monitoring.
BibRef
Yu, S.[Shuai],
Shen, S.H.[Shi-Hui],
Compaction Prediction for Asphalt Mixtures Using Wireless Sensor and
Machine Learning Algorithms,
ITS(24), No. 1, January 2023, pp. 778-786.
IEEE DOI
2301
Compaction, Asphalt, Support vector machines,
Machine learning algorithms, Sensors, Mathematical models,
sensing technology
BibRef
Han, C.J.[Cheng-Jia],
Ma, T.[Tao],
Gu, L.[Linhao],
Cao, J.[Jinde],
Shi, X.[Xinli],
Huang, W.[Wei],
Tong, Z.[Zheng],
Asphalt Pavement Health Prediction Based on Improved Transformer
Network,
ITS(24), No. 4, April 2023, pp. 4482-4493.
IEEE DOI
2304
Transformers, Time series analysis, Roads, Tensors, Asphalt,
Predictive models, Monitoring, Asphalt pavement, health prediction,
artificial neural network
BibRef
Wang, Y.Y.[Yan-Yan],
Niu, M.H.[Meng-Hui],
Song, K.[Kechen],
Jiang, P.[Peng],
Yan, Y.H.[Yun-Hui],
Normal-Knowledge-Based Pavement Defect Segmentation Using
Relevance-Aware and Cross-Reasoning Mechanisms,
ITS(24), No. 4, April 2023, pp. 4413-4427.
IEEE DOI
2304
Image reconstruction, Transformers, Image segmentation,
Feature extraction, Training, Semantics, Inspection,
context-aware abnormal distillation
BibRef
Song, W.D.[Wei-Dong],
Zhang, Z.Y.[Zai-Yan],
Zhang, B.[Bing],
Jia, G.H.[Guo-Hui],
Zhu, H.B.[Hong-Bo],
Zhang, J.H.[Jin-He],
ISTD-PDS7: A Benchmark Dataset for Multi-Type Pavement Distress
Segmentation from CCD Images in Complex Scenarios,
RS(15), No. 7, 2023, pp. 1750.
DOI Link
2304
BibRef
Wu, J.Y.[Jia-Yi],
Shi, Y.F.[Yu-Feng],
Wang, H.L.[He-Long],
Wen, Y.J.[Ya-Juan],
Du, Y.W.[Yi-Wei],
Surface Defect Detection of Nanjing City Wall Based on UAV Oblique
Photogrammetry and TLS,
RS(15), No. 8, 2023, pp. 2089.
DOI Link
2305
BibRef
Huang, S.[Sheng],
Tang, W.H.[Wen-Hao],
Huang, G.X.[Gui-Xin],
Huangfu, L.[Luwen],
Yang, D.[Dan],
Weakly Supervised Patch Label Inference Networks for Efficient
Pavement Distress Detection and Recognition in the Wild,
ITS(24), No. 5, May 2023, pp. 5216-5228.
IEEE DOI
2305
Image recognition, Image classification, Task analysis,
Deep learning, Training, Roads, Inspection, Pavement image analysis,
weakly supervised learning
BibRef
Fares, A.[Ali],
Zayed, T.[Tarek],
Industry- and Academic-Based Trends in Pavement Roughness Inspection
Technologies over the Past Five Decades: A Critical Review,
RS(15), No. 11, 2023, pp. 2941.
DOI Link
2306
BibRef
Plati, C.[Christina],
Georgouli, K.[Konstantina],
Loizos, A.[Andreas],
Using NDT Data to Assess the Effect of Pavement Thickness Variability
on Ride Quality,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link
2307
BibRef
Guo, N.N.[Nan-Ning],
You, L.Y.[Ling-Yun],
Long, Z.[Zhengwu],
Lv, S.T.[Song-Tao],
Diab, A.[Aboelkasim],
Computationally-Affordable Unsupervised Machine Learning Algorithm to
Identify the Level of Distress Severity in Pavement Functional
Performance,
ITS(24), No. 7, July 2023, pp. 7342-7356.
IEEE DOI
2307
Preventive maintenance, Seals, Indexes, Unsupervised learning,
Slurries, Roads, Feature extraction, Unsupervised machine learning,
preventive maintenance strategies
BibRef
Hijji, M.[Mohammad],
Iqbal, R.[Rahat],
Pandey, A.K.[Anup Kumar],
Doctor, F.[Faiyaz],
Karyotis, C.[Charalampos],
Rajeh, W.[Wahid],
Alshehri, A.[Ali],
Aradah, F.[Fahad],
6G Connected Vehicle Framework to Support Intelligent Road
Maintenance Using Deep Learning Data Fusion,
ITS(24), No. 7, July 2023, pp. 7726-7735.
IEEE DOI
2307
Roads, Maintenance engineering, Data models,
Computational modeling, 6G mobile communication, Training,
intelligent transportation systems
BibRef
Cai, S.[Sudong],
Wakaki, R.[Ryosuke],
Nobuhara, S.[Shohei],
Nishino, K.[Ko],
RGB Road Scene Material Segmentation,
IVC(145), 2024, pp. 104970.
Elsevier DOI
2405
BibRef
Earlier:
ACCV22(II:256-272).
Springer DOI
2307
RGB road scene material segmentation,
Self-attention mechanism, Multi-level feature fusion
BibRef
Gagarin, N.[Nicolas],
Goulias, D.[Dimitrios],
Mekemson, J.[James],
Condition Rating of Bridge Decks with Fuzzy Sets Modeling for SF-GPR
Surveys,
RS(15), No. 14, 2023, pp. 3631.
DOI Link
2307
BibRef
Jiang, W.[Wei],
Li, P.F.[Peng-Fei],
Sha, A.[Aimin],
Li, Y.P.[Yu-Peng],
Yuan, D.D.[Dong-Dong],
Xiao, J.J.[Jing-Jing],
Xing, C.W.[Cheng-Wei],
Research on Pavement Traffic Load State Perception Based on the
Piezoelectric Effect,
ITS(24), No. 8, August 2023, pp. 8264-8278.
IEEE DOI
2308
Sensors, Temperature sensors, Roads, Telecommunication traffic,
Temperature measurement, Axles, Piezoelectric devices, perception accuracy
BibRef
Workman, R.[Robin],
Wong, P.[Patrick],
Wright, A.[Alex],
Wang, Z.[Zhao],
Prediction of Unpaved Road Conditions Using High-Resolution Optical
Satellite Imagery and Machine Learning,
RS(15), No. 16, 2023, pp. 3985.
DOI Link
2309
BibRef
Siddiqui, I.[Ifrah],
Mazhar, S.[Suleman],
Hassan, N.[Naufil],
Sultani, W.[Waqas],
Fine-Grained Road Quality Monitoring Using Deep Learning,
ITS(24), No. 10, October 2023, pp. 10691-10701.
IEEE DOI
2310
BibRef
Ren, R.Q.[Rui-Qi],
Shi, P.X.[Pei-Xin],
Jia, P.J.[Peng-Jiao],
Xu, X.Y.[Xiang-Yang],
A Semi-Supervised Learning Approach for Pixel-Level Pavement Anomaly
Detection,
ITS(24), No. 9, September 2023, pp. 10099-10107.
IEEE DOI
2310
BibRef
Liu, Z.[Zhen],
Yang, Q.F.[Qi-Feng],
Gu, X.Y.[Xing-Yu],
Assessment of Pavement Structural Conditions and Remaining Life
Combining Accelerated Pavement Testing and Ground-Penetrating Radar,
RS(15), No. 18, 2023, pp. 4620.
DOI Link
2310
BibRef
Liang, Z.D.[Zun-Dong],
Xing, C.[Chao],
Xu, H.N.[Hui-Ning],
Tan, Y.Q.[Yi-Qiu],
Qiu, T.[Tairui],
Chai, B.[Bo],
Li, J.[Jilu],
Liu, T.[Tianci],
Asphalt Pavement Compaction and Vehicle Speed Monitoring Using
Intelligent Aggregate,
ITS(24), No. 9, September 2023, pp. 10177-10185.
IEEE DOI
2310
BibRef
Jiang, S.[Shuo],
Strout, Z.[Zach],
He, B.[Bin],
Peng, D.[Daiyan],
Shull, P.B.[Peter B.],
Lo, B.P.L.[Benny P. L.],
Dual Stream Meta Learning for Road Surface Classification and Riding
Event Detection on Shared Bikes,
SMCS(53), No. 11, November 2023, pp. 7188-7200.
IEEE DOI
2310
BibRef
Hadrian, A.[Adva],
Vainshtein, R.[Roman],
Shapira, B.[Bracha],
Rokach, L.[Lior],
DeepCAN: Hybrid Method for Road Type Classification Using Vehicle
Sensor Data for Smart Autonomous Mobility,
ITS(24), No. 11, November 2023, pp. 11756-11772.
IEEE DOI
2311
BibRef
Xu, Z.C.[Zheng-Chao],
Dai, Z.[Zhe],
Sun, Z.Y.[Zhao-Yun],
Li, W.[Wei],
Dong, S.[Shi],
Pavement Image Enhancement in Pixel-Wise Based on Multi-Level
Semantic Information,
ITS(24), No. 12, December 2023, pp. 15077-15091.
IEEE DOI
2312
BibRef
Xu, Z.J.[Zi-Jin],
Yu, X.[Xin],
Liu, Z.[Zhuo],
Zhang, S.[Song],
Sun, Q.[Qinxia],
Chen, N.[Ning],
Lv, H.T.[Hao-Tian],
Wang, D.W.[Da-Wei],
Hou, Y.[Yue],
Safety Monitoring of Transportation Infrastructure Foundation:
Intelligent Recognition of Subgrade Distresses Based on B-Scan GPR
Images,
ITS(24), No. 12, December 2023, pp. 15468-15477.
IEEE DOI
2312
BibRef
Aghayan-Mashhady, N.[Nima],
Amirkhani, A.[Abdollah],
Road damage detection with bounding box and generative adversarial
networks based augmentation methods,
IET-IPR(18), No. 1, 2024, pp. 154-174.
DOI Link Code:
WWW Link.
2401
convolutional neural nets, image annotation, object detection, road vehicles
BibRef
Wu, Y.W.[Yan-Wen],
Hong, M.J.[Ming-Jian],
Li, A.[Ao],
Huang, S.[Sheng],
Liu, H.J.[Hui-Jun],
Ge, Y.X.[Yong-Xin],
Self-Supervised Adversarial Learning for Domain Adaptation of
Pavement Distress Classification,
ITS(25), No. 2, February 2024, pp. 1966-1977.
IEEE DOI
2402
Feature extraction, Task analysis, Self-supervised learning,
Adaptation models, Training, Generators, Data models,
discriminative information
BibRef
Liu, Y.C.[Yu-Chen],
Liu, F.[Fang],
Liu, W.[Wei],
Huang, Y.C.[Yu-Cheng],
Pavement Distress Detection Using Street View Images Captured via
Action Camera,
ITS(25), No. 1, January 2024, pp. 738-747.
IEEE DOI
2402
Feature extraction, Roads, Computational modeling,
Object detection, Cameras, Task analysis, Neck, Pavement distress,
transfer learning
BibRef
Baiocchi, V.[Valerio],
Zhang, X.F.[Xian-Feng],
Mei, A.[Alessandro],
Road Extraction and Distress Assessment by Spaceborne, Airborne, and
Terrestrial Platforms,
RS(16), No. 8, 2024, pp. 1416.
DOI Link
2405
BibRef
Zhang, B.[Bei],
Cheng, H.Y.[Hao-Yuan],
Zhong, Y.H.[Yan-Hui],
Chi, J.[Jing],
Shen, G.Y.[Guo-Yin],
Yang, Z.X.[Zhao-Xu],
Li, X.L.[Xiao-Long],
Xu, S.J.[Sheng-Jie],
Real-Time Detection of Voids in Asphalt Pavement Based on
Swin-Transformer-Improved YOLOv5,
ITS(25), No. 3, March 2024, pp. 2615-2626.
IEEE DOI
2405
Asphalt, Numerical models, Real-time systems, Radar,
Ground penetrating radar, Radar imaging, Radar detection,
real-time detection
BibRef
Cai, W.Y.[Wen-Yuan],
Song, A.[Andi],
Du, Y.C.[Yu-Chuan],
Liu, C.L.[Cheng-Long],
Wu, D.F.[Di-Fei],
Li, F.[Feng],
Fine-Grained Pavement Performance Prediction Based on Causal-Temporal
Graph Convolution Networks,
ITS(25), No. 5, May 2024, pp. 4606-4619.
IEEE DOI Code:
WWW Link.
2405
Predictive models, Time series analysis, Roads,
Maintenance engineering, Entropy, Couplings,
temporal dependence
BibRef
Arvanitis, G.[Gerasimos],
Stagakis, N.[Nikolaos],
Zacharaki, E.I.[Evangelia I.],
Moustakas, K.[Konstantinos],
Cooperative Saliency-Based Pothole Detection and AR Rendering for
Increased Situational Awareness,
ITS(25), No. 5, May 2024, pp. 3588-3604.
IEEE DOI
2405
Roads, Point cloud compression, Laser radar, Cameras,
Rendering (computer graphics), Real-time systems, driver's safety
BibRef
Wang, A.[Aidi],
Lang, H.[Hong],
Chen, Z.[Zhen],
Peng, Y.C.[Yi-Chuan],
Ding, S.[Shuo],
Lu, J.J.[Jian John],
The Two-Step Method of Pavement Pothole and Raveling Detection and
Segmentation Based on Deep Learning,
ITS(25), No. 6, June 2024, pp. 5402-5417.
IEEE DOI
2406
Feature extraction, Asphalt, Object detection, Roads, Deep learning,
Semantic segmentation, Pothole and raveling,
deep learning
BibRef
Wang, J.[Jin],
Si, Q.[Qi],
Song, Z.[Ziang],
Wang, D.[Duo],
Yao, H.[Hui],
3D Geometry Modeling and Safety Compliance Assessment of In-Service
Roads Using Massive LiDAR Point Clouds,
ITS(25), No. 6, June 2024, pp. 4977-4986.
IEEE DOI
2406
Roads, Point cloud compression, Safety, Laser radar, Geometry,
Road safety, Road geometry, LiDAR point clouds, road safety, deep learning
BibRef
Liang, H.M.[Hai-Mei],
Pagano, R.G.[Rosa Giovanna],
Oddone, S.[Stefano],
Cong, L.[Lin],
de Blasiis, M.R.[Maria Rosaria],
Analysis of Road Surface Texture for Asphalt Pavement Adhesion
Assessment Using 3D Laser Technology,
RS(16), No. 11, 2024, pp. 1943.
DOI Link
2406
BibRef
Gu, Y.S.[Yang-Song],
Khojastehpour, M.[Mohammad],
Jia, X.Y.[Xiao-Yang],
Han, L.D.[Lee D.],
Estimating Pavement Condition by Leveraging Crowdsourced Data,
RS(16), No. 12, 2024, pp. 2237.
DOI Link
2406
BibRef
Wang, S.Q.[Si-Qi],
Leng, Z.[Zhen],
Sui, X.[Xin],
Zhang, W.G.[Wei-Guang],
Ma, T.[Tao],
Zhu, Z.[Zehui],
Real-Time Asphalt Pavement Layer Thickness Prediction Using
Ground-Penetrating Radar Based on a Modified Extended Common
Mid-Point (XCMP) Approach,
ITS(25), No. 7, July 2024, pp. 6848-6860.
IEEE DOI
2407
Asphalt, Reflection, Dielectric constant, Antennas,
Real-time systems, Mathematical models, Estimation,
extended common mid-point method
BibRef
Ning, Z.P.[Zhi-Peng],
Wang, H.[Hui],
Li, S.L.[Sheng-Lin],
Xu, Z.C.[Zhou-Cong],
YOLOv7-RDD: A Lightweight Efficient Pavement Distress Detection Model,
ITS(25), No. 7, July 2024, pp. 6994-7003.
IEEE DOI
2407
Convolution, Feature extraction, YOLO, Roads,
Maintenance engineering, Kernel, Head, Front-view video data,
urban road
BibRef
Zhang, C.[Cheng],
Shen, S.H.[Shi-Hui],
Huang, H.[Hai],
Yu, S.[Shuai],
In-Situ Dynamic Modulus Prediction for Asphalt Pavement Combining
Machine Learning Algorithm and Sensing Technology,
ITS(25), No. 8, August 2024, pp. 8695-8704.
IEEE DOI
2408
Vehicle dynamics, Artificial neural networks, Predictive models,
Feature extraction, Mechanical sensors, Load modeling,
wireless sensor
BibRef
Yu, J.[Jongmin],
Jiang, J.Q.[Jia-Qi],
Fichera, S.[Sebastiano],
Paoletti, P.[Paolo],
Layzell, L.[Lisa],
Mehta, D.[Devansh],
Luo, S.[Shan],
Road Surface Defect Detection: From Image-Based to Non-Image-Based: A
Survey,
ITS(25), No. 9, September 2024, pp. 10581-10603.
IEEE DOI
2409
Roads, Defect detection, Surface cracks, Asphalt, Soil, Surveys, Sensors,
Road surface defect detection, defect detection, crack detection,
deep learning
BibRef
Li, L.C.[Lin-Chao],
Liu, J.Z.[Jia-Zhen],
Xing, J.[Jiabao],
Liu, Z.Y.[Zhi-Yang],
Lin, K.[Kai],
Du, B.[Bowen],
Road Pothole Detection Based on Crowdsourced Data and Extended Mask
R-CNN,
ITS(25), No. 9, September 2024, pp. 12504-12516.
IEEE DOI
2409
Roads, Computational modeling, Feature extraction, Task analysis,
Inspection, Digital images, Pothole detection, mask R-CNN
BibRef
Chen, T.Y.[Teng-Yang],
Ren, J.T.[Jiang-Tao],
Integrating GAN and Texture Synthesis for Enhanced Road Damage
Detection,
ITS(25), No. 9, September 2024, pp. 12361-12371.
IEEE DOI
2409
Roads, Task analysis, Generative adversarial networks,
Data augmentation, Training, Data models, Shape, data argumentation
BibRef
Liu, Z.[Zhen],
Wang, S.Q.[Si-Qi],
Gu, X.Y.[Xing-Yu],
Wang, D.Y.[Dan-Yu],
Dong, Q.[Qiao],
Cui, B.Y.[Bing-Yan],
Intelligent Assessment of Pavement Structural Conditions:
A Novel FeMViT Classification Network for GPR Images,
ITS(25), No. 10, October 2024, pp. 13511-13523.
IEEE DOI
2410
Roads, Feature extraction, Computational modeling, Transformers,
Asphalt, Image segmentation, YOLO, Intelligent assessment, feature enhancement
BibRef
Wang, S.X.[Shou-Xing],
Jiao, H.Z.[Hong-Zan],
Su, X.[Xin],
Yuan, Q.Q.[Qiang-Qiang],
An Ensemble Learning Approach With Attention Mechanism for Detecting
Pavement Distress and Disaster-Induced Road Damage,
ITS(25), No. 10, October 2024, pp. 13667-13681.
IEEE DOI Code:
WWW Link.
2410
Roads, Disasters, YOLO, Social networking (online),
Ensemble learning, Training, Detectors, Road damage detection,
attention mechanism
BibRef
Qi, H.C.[Hao-Chen],
Kong, X.W.[Xiang-Wei],
Jin, Z.B.[Zhi-Bo],
Zhang, J.Q.[Ji-Qiang],
Wang, Z.[Zinan],
A Vision-Transformer-Based Convex Variational Network for Bridge
Pavement Defect Segmentation,
ITS(25), No. 10, October 2024, pp. 13820-13832.
IEEE DOI
2410
Bridges, Level set, Decoding, Transformers, Task analysis,
Linear programming, Defect detection, Bridge pavement inspection,
level set function
BibRef
Zhang, Z.Y.[Zhi-Yuan],
Liu, F.[Fang],
Huang, Y.C.[Yu-Cheng],
Hou, Y.[Yue],
Detection and Statistics System of Pavement Distresses Based on
Street View Videos,
ITS(25), No. 10, October 2024, pp. 15106-15115.
IEEE DOI
2410
Roads, Convolution, Feature extraction, Computational modeling,
Videos, Surface cracks, YOLO, Pavement defects, YOLOv8, Slim-neck,
Deep oc-sort
BibRef
Li, J.[Jie],
Qu, Z.[Zhong],
Wang, S.Y.[Shi-Yan],
Xia, S.F.[Shu-Fang],
YOLOX-RDD: A Method of Anchor-Free Road Damage Detection for
Front-View Images,
ITS(25), No. 10, October 2024, pp. 14725-14739.
IEEE DOI
2410
Roads, Feature extraction, Convolution, Detectors, Deep learning, Neck,
Adaptation models, Road damage detection, anchor-free,
deep learning
BibRef
Zhang, Y.C.[Ying-Chao],
Liu, C.[Cheng],
Real-Time Pavement Damage Detection With Damage Shape Adaptation,
ITS(25), No. 11, November 2024, pp. 18954-18963.
IEEE DOI
2411
Accuracy, YOLO, Transformers, Sensors, Roads, Detection algorithms,
Non-destructive testing, transformer, damage detection, real-time detection
BibRef
Pham, S.V.H.[Son Vu Hong],
Nguyen, K.V.T.[Khoi Van Tien],
Le, L.H.[Long Hoai],
Dang, N.T.N.[Nghiep Trinh Nguyen],
Developing RTI IMS Software to Autonomously Manage Road Surface
Quality, Adapting to Environmental Impacts,
ITS(25), No. 11, November 2024, pp. 18472-18484.
IEEE DOI
2411
Climate change, Intelligent systems, Construction industry,
Management, Environmental factors, Surface cracks, Road safety,
construction management
BibRef
Zhu, J.Q.[Jun-Qing],
Wu, Y.X.[Yu-Xuan],
Ma, T.[Tao],
Multi-Object Detection for Daily Road Maintenance Inspection With UAV
Based on Improved YOLOv8,
ITS(25), No. 11, November 2024, pp. 16548-16560.
IEEE DOI
2411
Roads, Maintenance, Inspection, Autonomous aerial vehicles,
Feature extraction, Task analysis, Accuracy, deep learning
BibRef
Liu, Z.[Zihan],
Jing, K.F.[Kai-Feng],
Yang, K.[Kai],
Zhang, Z.J.[Zhi-Jun],
Li, X.J.[Xi-Jie],
Efficient dense attention fusion network with channel correlation
loss for road damage detection,
IET-ITS(18), No. 10, 2024, pp. 1747-1759.
DOI Link
2411
data analysis, image processing, road safety
BibRef
Zhao, T.[Tong],
Yang, L.[Lei],
Xie, Y.C.[Yi-Chen],
Ding, M.Y.[Ming-Yu],
Tomizuka, M.[Masayoshi],
Wei, Y.[Yintao],
RoadBEV: Road Surface Reconstruction in Bird's Eye View,
ITS(25), No. 11, November 2024, pp. 19088-19099.
IEEE DOI Code:
WWW Link.
2411
Roads, Image reconstruction, Surface reconstruction, Estimation, Geometry,
Cameras, Accuracy, Bird's eye view, 3D reconstruction, autonomous driving
BibRef
Shan, W.[Wei],
Xu, G.C.[Guang-Chao],
Hou, P.[Peijie],
Du, H.[Helong],
Du, Y.T.[Ya-Ting],
Guo, Y.[Ying],
Spatiotemporal Evolution Analysis of Surface Deformation on the
Beihei Highway Based on Multi-Source Remote Sensing Data,
RS(16), No. 21, 2024, pp. 4091.
DOI Link
2411
BibRef
Bu, T.X.[Tian-Xiang],
Zhu, J.Q.[Jun-Qing],
Ma, T.[Tao],
Jiang, S.[Shun],
Pavement Point Cloud Upsampling Based on Transformer: Toward
Enhancing 3D Pavement Data,
ITS(25), No. 12, December 2024, pp. 21647-21657.
IEEE DOI
2412
Point cloud compression, Accuracy, Roads, Feature extraction,
Transformers, Costs, Point cloud upsampling, deep learning
BibRef
Zhang, Y.M.[Yi-Ming],
Tong, Z.[Zheng],
She, X.H.[Xu-Hui],
Wang, S.Q.[Si-Qi],
Zhang, W.G.[Wei-Guang],
Fan, J.W.[Jian-Wei],
Cheng, H.L.[Hang-Lin],
Yang, H.[Handuo],
Cao, J.[Jinde],
SWC-Net and Multi-Phase Heterogeneous FDTD Model for Void Detection
Underneath Airport Pavement Slab,
ITS(25), No. 12, December 2024, pp. 20698-20714.
IEEE DOI
2412
Slabs, Airports, Time-domain analysis, Finite difference methods,
Aggregates, Atmospheric modeling, Morphology, Solid modeling,
void underneath slab
BibRef
Zhang, R.H.[Rong-Hui],
Yang, S.Y.[Shang-Yu],
Lyu, D.[Dakang],
Wang, Z.[Zihan],
Chen, J.Z.[Jun-Zhou],
Ren, Y.L.[Yi-Long],
Gao, B.L.[Bo-Lin],
Lv, Z.H.[Zhi-Han],
AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic
Safety,
ITS(26), No. 1, January 2025, pp. 497-516.
IEEE DOI Code:
WWW Link.
2501
Roads, Feature extraction, Reflection, Support vector machines,
Convolutional neural networks, Accuracy, Accidents,
proactive traffic safety
BibRef
Cui, B.Y.[Bing-Yan],
Wang, H.[Hao],
Predicting Asphalt Pavement Deterioration Under Climate Change
Uncertainty Using Bayesian Neural Network,
ITS(26), No. 1, January 2025, pp. 785-797.
IEEE DOI
2501
Meteorology, Predictive models, Data models, Uncertainty,
Climate change, Rough surfaces, Asphalt, Adaptation models,
uncertainty analysis
BibRef
Auriacombe, O.[Olivier],
Vassilev, V.[Vessen],
Recognition of Road Surface Conditions With a 82-98 GHz Total Power
Dual-Polarized Radiometer on a Vehicle,
ITS(26), No. 2, February 2025, pp. 1598-1603.
IEEE DOI
2502
Temperature measurement, Roads, Ice, Temperature sensors, Snow,
Surface roughness, Rough surfaces, Microwave radiometry, Asphalt,
road surface identification
BibRef
Li, R.J.[Rong-Ji],
Wang, Z.Q.[Zi-Qian],
AGSAM-Net: UAV route planning and visual guidance model for bridge
surface defect detection,
IVC(154), 2025, pp. 105416.
Elsevier DOI
2502
Bridge surface defect detection, Unmanned aerial vehicle (UAV),
AGSAM-net
BibRef
Ren, R.Q.[Rui-Qi],
Shi, P.X.[Pei-Xin],
Jia, P.J.[Peng-Jiao],
Kim, J.[Jinwoo],
An Unsupervised Learning Approach for Pavement Distress Diagnosis via
Siamese Networks,
ITS(26), No. 2, February 2025, pp. 1876-1888.
IEEE DOI
2502
Image segmentation, Transformers, Deep learning,
Representation learning, Feature extraction, Accuracy, vision transformers
BibRef
Li, Y.[Yan],
Niu, Z.X.[Zhen-Xing],
He, Y.Z.[Yin-Zhang],
Hu, Q.S.[Qin-Shi],
Zhang, J.P.[Jiu-Peng],
A Three-Stage Decision-Making Method Based on Machine Learning for
Preventive Maintenance of Airport Pavement,
ITS(26), No. 3, March 2025, pp. 4152-4164.
IEEE DOI
2503
Airports, Maintenance, Machine learning, Atmospheric modeling,
Decision making, Indexes, Accuracy, Support vector machines, data-driven
BibRef
Fiorentini, N.[Nicholas],
Losa, M.[Massimo],
Road Detection, Monitoring, and Maintenance Using Remotely Sensed
Data,
RS(17), No. 5, 2025, pp. 917.
DOI Link
2503
BibRef
Liu, C.W.[Chuang-Wei],
Zhang, Y.K.[Yi-Kang],
Chen, Q.J.[Qi-Jun],
Pitas, I.[Ioannis],
Fan, R.[Rui],
These Maps Are Made by Propagation: Adapting Deep Stereo Networks to
Road Scenarios With Decisive Disparity Diffusion,
IP(34), 2025, pp. 1516-1528.
IEEE DOI Code:
WWW Link.
2503
Roads, Costs, Feature extraction, Accuracy, Surface reconstruction,
Surface treatment, Filtering, Noise, Stereo matching,
recursive bilateral filtering
BibRef
Randhawa, S.[Sukanya],
Aygün, E.[Eren],
Randhawa, G.[Guntaj],
Herfort, B.[Benjamin],
Lautenbach, S.[Sven],
Zipf, A.[Alexander],
Paved or unpaved? A deep learning derived road surface global dataset
from mapillary street-view imagery,
PandRS(223), 2025, pp. 362-374.
Elsevier DOI
2504
GeoAI, Mapillary street-view imagery, Road surface,
Deep learning, OpenStreetMap, Computer vision models
BibRef
Lu, C.[Congde],
Cao, S.[Senguo],
Wang, X.[Xiao],
Jin, G.[Guanglai],
Wang, S.Q.[Si-Qi],
Cai, W.L.[Wen-Long],
OEM-HWNet: A Prior Knowledge-Guided Network for Pavement Interlayer
Distress Detection Based on Computer Vision Using GPR,
RS(17), No. 9, 2025, pp. 1554.
DOI Link
2505
BibRef
Geng, H.T.[Huan-Tong],
Liu, Z.Y.[Zhen-Yu],
Wang, Y.R.[Ying-Rui],
Fang, L.[Long],
SDFC-YOLO: A YOLO-Based Model With Selective Dynamic Feature
Compensation for Pavement Distress Detection,
ITS(26), No. 5, May 2025, pp. 6556-6569.
IEEE DOI
2505
Feature extraction, Convolution, Roads, Accuracy, Kernel,
Heuristic algorithms, Image segmentation, YOLO, Data mining,
multi-scale weight selection
BibRef
Shi, B.[Bin],
Chen, X.Q.[Xue-Qin],
Hu, X.[Xing],
Yao, K.[Kang],
Yan, S.[Shiao],
Dong, Q.[Qiao],
Dynamic Coplanar Array Capacitance Imaging Method for Asphalt
Materials With Concealed Damages,
ITS(26), No. 5, May 2025, pp. 6977-6990.
IEEE DOI
2505
Capacitance, Asphalt, Electrodes, Capacitance measurement,
Sensitivity, Permittivity, Permittivity measurement, Sensor arrays,
non-destructive testing
BibRef
Sun, H.Y.[Hao-Yu],
Zhao, W.Z.[Wan-Zhong],
Wang, C.Y.[Chun-Yan],
Luan, Z.K.[Zhong-Kai],
Liang, W.[Weihe],
Zhou, X.C.[Xiao-Chuan],
Zhang, Z.Y.[Zi-Yu],
Chu, Y.K.[Yu-Kai],
Wu, J.[Jinwei],
Xu, J.Y.[Jia-Yi],
Huang, H.[Heng],
Dynamic Equilibrium Strategy for Road Sensing Systems Considering
Open Circuit Faults in DTP-PMSM,
ITS(26), No. 5, May 2025, pp. 6379-6392.
IEEE DOI
2505
Circuit faults, Torque, Roads, Sensors, Torque measurement, Harmonic analysis,
Fault tolerant systems, Motors, Fault diagnosis, torque ripple
BibRef
Li, J.[Jie],
Qu, Z.[Zhong],
Wang, S.Y.[Shi-Yan],
Xia, S.[Shufang],
A method of road damage detection for complex background images based
on region guidance network,
PR(168), 2025, pp. 111780.
Elsevier DOI Code:
WWW Link.
2506
Road damage detection, Region guidance,
Complex background image, Object detection, Deep learning
BibRef
Shi, B.[Bin],
Chen, X.Q.[Xue-Qin],
Hu, X.[Xing],
Yao, K.[Kang],
Yan, S.[Shiao],
Dong, Q.[Qiao],
Internal Distress Recognition of Asphalt Materials Based on Static
Coplanar Array Capacitance Imaging Technology,
ITS(26), No. 6, June 2025, pp. 9123-9134.
IEEE DOI
2506
Capacitance, Electrodes, Sensitivity, Asphalt, Imaging,
Dielectric constant, Capacitance measurement,
asphalt materials
BibRef
Liu, Y.C.[Yu-Chen],
Liu, F.[Fang],
Huang, Y.C.[Yu-Cheng],
Hu, J.[Jing],
Zhang, W.[Wei],
Hou, Y.[Yue],
The Real-Time Pavement Distress Detection System Based on Edge-Cloud
Collaborative Computing,
ITS(26), No. 7, July 2025, pp. 10512-10522.
IEEE DOI
2507
Computational modeling, Roads, Real-time systems, Accuracy,
Feature extraction, Defect detection, YOLO, Image edge detection, ByteTrack
BibRef
Tong, S.L.[Shi-Lin],
Wu, D.F.[Di-Fei],
Liu, X.N.[Xiao-Na],
Zheng, L.[Le],
Du, Y.C.[Yu-Chuan],
Zou, D.[Difan],
STGAN: Spatial-Temporal Graph Autoregression Network for Pavement
Distress Deterioration Prediction,
ITS(26), No. 7, July 2025, pp. 10764-10779.
IEEE DOI
2507
Predictive models, Roads, Data models, Biological system modeling, Maintenance,
Time series analysis, Load modeling, Indexes, graph autoregression
BibRef
Cai, W.Y.[Wen-Yuan],
Du, Y.C.[Yu-Chuan],
Wu, D.F.[Di-Fei],
Weng, Z.H.[Zi-Hang],
Liu, C.L.[Cheng-Long],
Engineering-Adaptive Pavement Maintenance Decision-Making Model: A
Reinforcement Learning Approach From Expert Feedback,
ITS(26), No. 7, July 2025, pp. 10865-10880.
IEEE DOI
2507
Maintenance, Roads, Decision making, Reinforcement learning, Costs,
Optimization models, Predictive models, Adaptation models,
data-knowledge-driven
BibRef
Zhang, W.[Wenya],
Li, X.[Xiang],
Wang, L.[Lina],
Zhang, D.[Danfei],
Lu, P.F.[Peng-Fei],
Wang, L.[Lei],
Cheng, C.X.[Chuan-Xiang],
A Lightweight Method for Road Defect Detection in UAV Remote Sensing
Images with Complex Backgrounds and Cross-Scale Fusion,
RS(17), No. 13, 2025, pp. 2248.
DOI Link
2507
BibRef
Hu, D.[Da],
Development of an Open GPR Dataset for Enhanced Bridge Deck
Inspection,
RS(17), No. 13, 2025, pp. 2210.
DOI Link
2507
BibRef
Jiang, D.Y.[Da-Yong],
Wang, D.S.[Dong-Sheng],
Pei, Z.S.[Zhong-Shi],
Sun, Z.J.[Zhao-Jie],
Yi, J.[Junyan],
A Comprehensive Survey of the New Generation Pavement Structural
Condition Assessment in Pavement Management System: Traffic Speed
Deflection Device,
ITS(26), No. 8, August 2025, pp. 11206-11226.
IEEE DOI
2508
Testing, Roads, Reviews, Maintenance, Inspection, Market research,
Maintenance engineering, Wheels, Surveys, Safety,
pavement management system
BibRef
Kong, W.Y.[Wei-Yi],
Li, Y.C.[Yi-Cheng],
Hu, J.[Jing],
Luo, S.[Sang],
Rui, J.Q.[Jiang-Qiu],
A Shadow-Robust Pavement Damage Detection Framework Based on
RACycle-GAN and DDE-YOLOv8,
ITS(26), No. 8, August 2025, pp. 11342-11355.
IEEE DOI
2508
Interference, Generative adversarial networks,
Feature extraction, Generators, YOLO, Translation, Diffusion models,
pavement inspection
BibRef
Qu, Z.[Zhong],
Lu, T.[Tong],
Yin, X.H.[Xue-Hui],
Wang, J.D.[Jian-Dong],
MFDB-Net: Multi-Attention Fusion Dual-Branch Network for Pavement
Crack Detection,
ITS(26), No. 8, August 2025, pp. 11982-11997.
IEEE DOI
2508
Feature extraction, Semantics, Data mining, Strips, Decoding, Encoding,
Network architecture, Kernel, Intelligent transportation systems,
multi-attention fusion
BibRef
Wang, Y.J.[Ya-Jie],
Shan, L.Y.[Li-Yan],
Yan, J.M.[Jia-Ming],
Pang, Y.Z.[Yun-Ze],
A Data Augmentation Method for Establishing a Relationship Model
Between Composition and Viscoelastic Properties of Asphalt Binder,
ITS(26), No. 8, August 2025, pp. 12446-12460.
IEEE DOI
2508
Asphalt, Generative adversarial networks, Data models,
Machine learning, Data augmentation, Training, Predictive models,
viscoelastic properties
BibRef
Zhang, P.C.[Peng-Cheng],
Yi, W.[Wen],
Song, Y.Z.[Yong-Ze],
Wu, P.[Peng],
Hampson, K.[Keith],
Shemery, A.[Ammar],
Gaussian Mixture Segmentation for Managing Deterioration of
Large-Scale Road Networks,
ITS(26), No. 8, August 2025, pp. 12461-12473.
IEEE DOI
2508
Roads, Maintenance, Image segmentation, Transportation, Accuracy,
Indexes, Probability distribution, Government,
spatial line segmentation
BibRef
Qin, H.S.[Hong-Shuai],
Chen, X.D.[Xiao-Diao],
Wu, W.[Wen],
Yang, W.[Wenya],
Weakly-supervised road condition detection via scribble annotations,
JVCIR(111), 2025, pp. 104494.
Elsevier DOI Code:
WWW Link.
2509
Road condition detection, Weakly supervised,
Graph convolutional network, Scribble annotations
BibRef
Du, Y.J.[Ying-Jie],
Cheng, Q.[Qimin],
Liu, X.F.[Xiao-Feng],
Xu, J.[Jia],
Yi, Y.W.[Yu-Wei],
Enhancing Road Maintenance Through Cyber-Physical Integration: The
LEE-YOLO Model for Drone-Assisted Pavement Crack Detection,
ITS(26), No. 9, September 2025, pp. 14169-14178.
IEEE DOI
2510
Roads, Feature extraction, Computational modeling, Accuracy,
Maintenance, Drones, Real-time systems, Neck, Face recognition, YOLOv8n
BibRef
Lehr, J.[Jan],
Philipps, J.[Jan],
Sargsyan, A.[Alik],
Pape, M.[Martin],
Krüger, J.[Jörg],
Ad3: Introducing a Score for Anomaly Detection Dataset Difficulty
Assessment Using Viaduct Dataset,
ECCV24(LXVIII: 449-464).
Springer DOI
2412
BibRef
Wu, W.H.[Wen-Hua],
Wang, Q.[Qi],
Wang, G.M.[Guang-Ming],
Wang, J.P.[Jun-Ping],
Zhao, T.[Tiankun],
Liu, Y.[Yang],
Gao, D.C.[Dong-Chao],
Liu, Z.[Zhe],
Wang, H.S.[He-Sheng],
EMIE-MAP: Large-scale Road Surface Reconstruction Based on Explicit
Mesh and Implicit Encoding,
ECCV24(LXXXVII: 370-386).
Springer DOI
2412
BibRef
Kumari, S.[Shruti],
Gautam, A.[Anjali],
Basak, S.[Suvramalya],
Saxena, N.[Nidhi],
YOLOv8 Based Deep Learning Method for Potholes Detection,
ICCVMI23(1-6)
IEEE DOI
2403
Training, YOLO, Adaptation models, Shape, Roads, Supervised learning,
Maintenance engineering, Pothole detection, Deep learning,
YOLOv8
BibRef
Wu, W.X.[Wen-Xiu],
Zhou, X.Y.[Xiao-Yong],
Jin, Y.H.[Yi-Hui],
Fang, Z.H.[Zhi-Hua],
Fan, X.Q.[Xia-Qi],
Zhang, B.[Biao],
Zheng, R.J.[Rui-Jian],
A Method to Detect Pavement Surface Distress Based on Improved U-Net
Semantic Segmentation Network,
CVIDL23(625-630)
IEEE DOI
2403
Training, Deep learning, Semantic segmentation, Roads,
Maintenance engineering, Feature extraction, Safety, data augmentation
BibRef
Tian, B.H.[Bao-Hui],
Liu, A.X.[Ao-Xiang],
Yang, H.[He],
Liu, Y.[Yong],
Wang, J.[Juan],
Xu, G.C.[Gao-Cheng],
Zheng, H.[Hui],
Cai, H.[HongYue],
Zhang, T.X.[Tian-Xiao],
Pavement contour extraction and material recognition based on
landscape camera,
CVIDL23(318-322)
IEEE DOI
2403
Deep learning, Image recognition, Roads, Semantic segmentation,
Digital transformation, Maintenance engineering, road maintenance
BibRef
Liu, Q.[Qian],
Zhu, C.[Chuanhui],
Automatic Detection for Road Voids from GPR Images using Deep
Learning Method,
CVIDL23(617-620)
IEEE DOI
2403
Deep learning, Image recognition, Ground penetrating radar,
Target recognition, Roads, Computational modeling,
Road Detection
BibRef
Vojír, T.[Tomá],
Matas, J.G.[Jirí G.],
Image-Consistent Detection of Road Anomalies as Unpredictable Patches,
WACV23(5480-5489)
IEEE DOI
2302
Filtering, Roads, Design methodology, Benchmark testing,
Feature extraction, Task analysis, segmentation.
BibRef
Zavrtanik, V.[Vitjan],
Kristan, M.[Matej],
Skocaj, D.[Danijel],
DSR: A Dual Subspace Re-Projection Network for Surface Anomaly
Detection,
ECCV22(XXXI:539-554).
Springer DOI
2211
BibRef
Cordes, K.[Kai],
Reinders, C.[Christoph],
Hindricks, P.[Paul],
Lammers, J.[Jonas],
Rosenhahn, B.[Bodo],
Broszio, H.[Hellward],
RoadSaW: A Large-Scale Dataset for Camera-Based Road Surface and
Wetness Estimation,
WAD22(4439-4448)
IEEE DOI
2210
Uncertainty, Target tracking, Roads, Friction, Current measurement,
Estimation, Streaming media
BibRef
Lank, M.[Martin],
Friedjungová, M.[Magda],
Road Quality Classification,
CIAP22(II:553-563).
Springer DOI
2205
BibRef
Vojir, T.[Tomas],
ipka, T.[Tomá],
Aljundi, R.[Rahaf],
Chumerin, N.[Nikolay],
Reino, D.O.[Daniel Olmeda],
Matas, J.G.[Jiri G.],
Road Anomaly Detection by Partial Image Reconstruction with
Segmentation Coupling,
ICCV21(15631-15640)
IEEE DOI
2203
Couplings, Training, Surface reconstruction, Roads, Semantics,
Transform coding, Tires,
Scene analysis and understanding
BibRef
Zhang, Y.J.[Yu-Jia],
Li, Q.Z.[Qian-Zhong],
Zhao, X.G.[Xiao-Guang],
Tan, M.[Min],
TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained
Pavement Disease Segmentation,
WACV21(3654-3663)
IEEE DOI
2106
Convolution, Roads, Inspection, Maintenance engineering, Safety
BibRef
Masihullah, S.[Shaik],
Garg, R.[Ritu],
Mukherjee, P.[Prerana],
Ray, A.[Anupama],
Attention Based Coupled Framework for Road and Pothole Segmentation,
ICPR21(5812-5819)
IEEE DOI
2105
Training, Image segmentation, Visualization, Rain, Roads, Snow,
Vehicle safety, Pothole Detection, Road Segmentation,
Deep Networks
BibRef
Chitale, P.A.,
Kekre, K.Y.,
Shenai, H.R.,
Karani, R.,
Gala, J.P.,
Pothole Detection and Dimension Estimation System using Deep Learning
(YOLO) and Image Processing,
IVCNZ20(1-6)
IEEE DOI
2012
Deep learning, Pandemics, Shape, Roads, Image processing, Estimation,
Maintenance engineering, YOLO, Deep Learning,
Dimension Estimation
BibRef
Cannelle, B.,
Beltzung, F.,
Thiémard-Spada, M.,
Application of Photogrammetry and Image Processing for the Study Of
Porous Surface Courses,
ISPRS20(B2:745-749).
DOI Link
2012
BibRef
Ravi, R.,
Bullock, D.,
Habib, A.,
Highway and Airport Runway Pavement Inspection Using Mobile Lidar,
ISPRS20(B1:349-354).
DOI Link
2012
BibRef
Pontoglio, E.,
Colucci, E.,
Lingua, A.,
Maschio, P.,
Migliazza, M.R.,
Scavia, C.,
UAV and Close-range Photogrammetry to Support Geo-mechanical Analysis
In Safety Road Management: the 'Vallone d'Elva' Road,
ISPRS20(B2:1159-1166).
DOI Link
2012
BibRef
Pinto, L.,
Bianchini, F.,
Nova, V.,
Passoni, D.,
Low-cost UAS Photogrammetry for Road Infrastructures' Inspection,
ISPRS20(B2:1145-1150).
DOI Link
2012
BibRef
Ono, Y.,
Tsuji, A.,
Abe, J.,
Noguchi, H.,
Abe, J.,
Robust Detection of Surface Anomaly Using Lidar Point Cloud With
Intensity,
ISPRS20(B2:1129-1136).
DOI Link
2012
BibRef
Park, J.S.,
Lee, K.S.,
Kim, S.,
Assessment for a Condition Using Terrestrial Lidar Data,
Gi4DM19(311-314).
DOI Link
1912
Potholes, etc.
BibRef
d'Aranno, P.,
di Benedetto, A.,
Fiani, M.,
Marsella, M.,
Remote Sensing Technologies for Linear Infrastructure Monitoring,
GEORES19(461-468).
DOI Link
1912
E.g. roads.
BibRef
Seydi, S.T.,
Rastiveis, H.,
A Deep Learning Framework for Roads Network Damage Assessment Using
Post-earthquake Lidar Data,
SMPR19(955-961).
DOI Link
1912
BibRef
Truong-Hong, L.,
Laefer, D.F.,
Lindenbergh, R.C.,
Automatic Detection of Road Edges From Aerial Laser Scanning Data,
Laser19(1135-1140).
DOI Link
1912
BibRef
van der Horst, B.B.,
Lindenbergh, R.C.,
Puister, S.W.J.,
Mobile Laser Scan Data for Road Surface Damage Detection,
Laser19(1141-1148).
DOI Link
1912
BibRef
Dhiman, A.,
Chien, H.,
Klette, R.,
Road surface distress detection in disparity space,
IVCNZ17(1-6)
IEEE DOI
1902
road accidents, road traffic, roads, stereo image processing,
road surface distress detection, traffic accidents, Sensors
BibRef
Yang, L.,
Li, B.,
Li, W.,
Jiang, B.,
Xiao, J.,
Semantic Metric 3D Reconstruction for Concrete Inspection,
Odometry18(1624-16248)
IEEE DOI
1812
Inspection, Semantics, Measurement,
Visualization, Simultaneous localization and mapping, Image segmentation
BibRef
Song, W.,
Workman, S.,
Hadzic, A.,
Zhang, X.,
Green, E.,
Chen, M.,
Souleyrette, R.,
Jacobs, N.,
FARSA: Fully Automated Roadway Safety Assessment,
WACV18(521-529)
IEEE DOI
1806
image processing, neural nets, road safety, roads,
traffic engineering computing, FARSA, US Road Assessment Program,
Training
BibRef
Güldür Erkal, B.,
Apaydin, N.M.,
Bridge Surface Damage Detection Application with A Laser-based Software
Prototype,
GeoAdvances17(55-57).
DOI Link
1805
BibRef
Chacra, D.B.A.[David B. Abou],
Zelek, J.S.[John S.],
Fully Automated Road Defect Detection Using Street View Images,
CRV17(353-360)
IEEE DOI
1804
BibRef
And:
Road Segmentation in Street View Images Using Texture Information,
CRV16(424-431)
IEEE DOI
1612
civil engineering computing, condition monitoring,
crack detection, feature extraction, image classification,
Road Segmentation.
Fisher Vectors
BibRef
Grünauer, A.[Andreas],
Halmetschlager-Funek, G.[Georg],
Prankl, J.[Johann],
Vincze, M.[Markus],
Learning the Floor Type for Automated Detection of Dirt Spots for
Robotic Floor Cleaning Using Gaussian Mixture Models,
CVS17(576-589).
Springer DOI
1711
BibRef
Martínez-Sánchez, J.,
Puente, I.,
GonzálezJorge, H.,
Riveiro, B.,
Arias, P.,
Automatic Thickness And Volume Estimation Of Sprayed Concrete On
Anchored Retaining Walls From Terrestrial Lidar Data,
ISPRS16(B5: 521-526).
DOI Link
1610
BibRef
Abdic, I.,
Fridman, L.,
Brown, D.E.,
Angell, W.,
Reimer, B.,
Marchi, E.,
Schuller, B.,
Detecting road surface wetness from audio: A deep learning approach,
ICPR16(3458-3463)
IEEE DOI
1705
Cameras, Data collection, Recurrent neural networks, Roads,
Rough surfaces, Spectrogram, Tires
BibRef
Varadharajan, S.[Srivatsan],
Jose, S.[Sobhagya],
Sharma, K.[Karan],
Wander, L.[Lars],
Mertz, C.[Christoph],
Vision for road inspection,
WACV14(115-122)
IEEE DOI
1406
Image segmentation; Inspection; Roads; Robots; Software; Training
BibRef
Ji, S.,
Shi, Y.,
Shi, Z.,
Manhole Cover Detection Using Vehicle-based Multi-sensor Data,
ISPRS12(XXXIX-B3:281-284).
DOI Link
1209
BibRef
Zou, H.S.[Hua-Sheng],
Study on roadbed disease recognition algorithm based on support vector
machine,
IASP09(362-365).
IEEE DOI
0904
BibRef
Laurent, J.,
Talbot, M.,
Doucet, M.,
Road Surface Inspection Using Laser Scanners,
3DIM97(12 - Applications)
9702
BibRef
Kil, D.H., and
Shin, F.B.,
Automatic Road-Distress Classification and Identification Using a
Combination of Hierarchical Classifiers and Expert Systems-Object
Processing,
ICIP97(II: 414-417).
IEEE DOI
9710
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Inspection -- Crack Detection Pavement, Road Surface, Asphalt, Concrete .