- Home
- Publications
- Publication Search
- Publication Details
Title
Machine learning techniques for pavement condition evaluation
Authors
Keywords
Deep learning, Machine learning, Pavement monitoring, Pavement management system, Image processing, Image analysis, Pavement distress, Pavement indices, Pavement condition
Journal
AUTOMATION IN CONSTRUCTION
Volume 136, Issue -, Pages 104190
Publisher
Elsevier BV
Online
2022-03-04
DOI
10.1016/j.autcon.2022.104190
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Performance of Machine Learning Algorithms in Predicting the Pavement International Roughness Index
- (2021) Mohammad Z. Bashar et al. TRANSPORTATION RESEARCH RECORD
- Monitoring Asphalt Pavement Aging and Damage Conditions from Low-Altitude UAV Imagery Based on a CNN Approach
- (2021) Yifan Pan et al. CANADIAN JOURNAL OF REMOTE SENSING
- Asphalt pavement paving segregation detection method using more efficiency and quality texture features extract algorithm
- (2021) Xun Zhao et al. CONSTRUCTION AND BUILDING MATERIALS
- Jointed Plain Concrete (JPC) Pavement Variability and Method to Complement JPC Design with 3D Pavement Data
- (2021) Georgene Malone Geary et al. TRANSPORTATION RESEARCH RECORD
- Validating the practicality of utilising an image classifier developed using TensorFlow framework in collecting corrugation data from gravel roads
- (2021) Osama Abu Daoud et al. International Journal of Pavement Engineering
- PotSpot: Participatory sensing based monitoring system for pothole detection using deep learning
- (2021) Susmita Patra et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Detection of Pavement Maintenance Treatments using Deep-Learning Network
- (2021) Lu Gao et al. TRANSPORTATION RESEARCH RECORD
- Deep Convolutional Neural Networks for Pavement Crack Detection using an Inexpensive Global Shutter RGB-D Sensor and ARM-Based Single-Board Computer
- (2021) Pouria Asadi et al. TRANSPORTATION RESEARCH RECORD
- Automated Asphalt Pavement Raveling Detection and Classification using Convolutional Neural Network and Macrotexture Analysis
- (2021) Yung-An Hsieh et al. TRANSPORTATION RESEARCH RECORD
- Automated Detection and Classification of Pavement Distresses using 3D Pavement Surface Images and Deep Learning
- (2021) Rohit Ghosh et al. TRANSPORTATION RESEARCH RECORD
- Pavement Crack Detection Method Based on Deep Learning Models
- (2021) Guo X. Hu et al. WIRELESS COMMUNICATIONS & MOBILE COMPUTING
- Application of Smartphones in Pavement Profile Estimation Using SDOF Model-Based Noisy Deconvolution
- (2021) Amin Moghadam et al. Advances in Civil Engineering
- Classification and analysis of deep learning applications in construction: A systematic literature review
- (2021) Rana Khallaf et al. AUTOMATION IN CONSTRUCTION
- Computer Vision-Based Patched and Unpatched Pothole Classification Using Machine Learning Approach Optimized by Forensic-Based Investigation Metaheuristic
- (2021) Nhat-Duc Hoang et al. COMPLEXITY
- An integrated machine learning model for automatic road crack detection and classification in urban areas
- (2021) Abbas Ahmadi et al. International Journal of Pavement Engineering
- An image-based system for asphalt pavement bleeding inspection
- (2021) Sajad Ranjbar et al. International Journal of Pavement Engineering
- Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach
- (2021) Minh-Tu Cao et al. SOFT COMPUTING
- Predicting Pavement Roughness Using Deep Learning Algorithms
- (2021) Qingwen Zhou et al. TRANSPORTATION RESEARCH RECORD
- Pavement performance assessment using a cost‐effective wireless accelerometer system
- (2020) Ravneet Bajwa et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features
- (2020) Weidong Song et al. JOURNAL OF ADVANCED TRANSPORTATION
- Pavement Image Datasets: A New Benchmark Dataset to Classify and Densify Pavement Distresses
- (2020) Hamed Majidifard et al. TRANSPORTATION RESEARCH RECORD
- Pothole detection using location-aware convolutional neural networks
- (2020) Hanshen Chen et al. International Journal of Machine Learning and Cybernetics
- Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement
- (2020) Zhun Fan et al. Coatings
- Convolutional neural networks for pavement roughness assessment using calibration-free vehicle dynamics
- (2020) Jong-Hyun Jeong et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- CrackU-net: A novel deep convolutional neural network for pixelwise pavement crack detection
- (2020) Ju Huyan et al. Structural Control & Health Monitoring
- Assessing artificial neural network performance for predicting interlayer conditions and layer modulus of multi-layered flexible pavement
- (2020) Lingyun You et al. Frontiers of Structural and Civil Engineering
- Deep machine learning approach to develop a new asphalt pavement condition index
- (2020) Hamed Majidifard et al. CONSTRUCTION AND BUILDING MATERIALS
- Prediction of asphalt pavement condition using FWD deflection basin parameters and artificial neural networks
- (2020) Vidhi Vyas et al. Road Materials and Pavement Design
- Storm-Drain and Manhole Detection Using the RetinaNet Method
- (2020) Anderson Santos et al. SENSORS
- Analyzing Factors Associated with Fatal Road Crashes: A Machine Learning Approach
- (2020) Ali J. Ghandour et al. International Journal of Environmental Research and Public Health
- Automated pavement crack detection and segmentation based on two‐step convolutional neural network
- (2020) Jingwei Liu et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A cost effective solution for pavement crack inspection using cameras and deep neural networks
- (2020) Qipei Mei et al. CONSTRUCTION AND BUILDING MATERIALS
- Machine Learning for Crack Detection: Review and Model Performance Comparison
- (2020) Yung-An Hsieh et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Estimation of flexible pavement structural capacity using machine learning techniques
- (2020) Nader Karballaeezadeh et al. Frontiers of Structural and Civil Engineering
- The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis
- (2020) Yue Hou et al. Engineering
- Three-dimensional texture measurement using deep learning and multi-view pavement images
- (2020) Cunqiang Liu et al. MEASUREMENT
- Encoder-decoder network for pixel-level road crack detection in black-box images
- (2019) Seongdeok Bang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Optimizing Artificial Neural Networks For The Evaluation Of Asphalt Pavement Structural Performance
- (2019) Gaetano Bosurgi et al. Baltic Journal of Road and Bridge Engineering
- Vision- and Entropy-Based Detection of Distressed Areas for Integrated Pavement Condition Assessment
- (2019) Georgios M. Hadjidemetriou et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Identification of rut and pothole by using multirotor unmanned aerial vehicle (UAV)
- (2019) Azri Mat Saad et al. MEASUREMENT
- Faster region convolutional neural network for automated pavement distress detection
- (2019) Liang Song et al. Road Materials and Pavement Design
- Automatic detection of asphalt pavement raveling using image texture based feature extraction and stochastic gradient descent logistic regression
- (2019) Nhat-Duc Hoang AUTOMATION IN CONSTRUCTION
- Road roughness acquisition and classification using improved restricted Boltzmann machine deep learning algorithm
- (2019) Qinghua Liu et al. Sensor Review
- Pixel-Level Cracking Detection on 3D Asphalt Pavement Images Through Deep-Learning- Based CrackNet-V
- (2019) Yue Fei et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Road Surface Damage Detection Using Fully Convolutional Neural Networks and Semi-Supervised Learning
- (2019) Chanjun Chun et al. SENSORS
- Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
- (2019) Fan Yang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network
- (2018) Hoang Nhat-Duc et al. AUTOMATION IN CONSTRUCTION
- Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images
- (2018) Hiroya Maeda et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion
- (2018) Fu-Chen Chen et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Automatic classification of pavement crack using deep convolutional neural network
- (2018) Baoxian Li et al. International Journal of Pavement Engineering
- Automatic Pixel-Level Pavement Crack Detection Using Information of Multi-Scale Neighborhoods
- (2018) Dihao Ai et al. IEEE Access
- An Artificial Intelligence Method for Asphalt Pavement Pothole Detection Using Least Squares Support Vector Machine and Neural Network with Steerable Filter-Based Feature Extraction
- (2018) Nhat-Duc Hoang Advances in Civil Engineering
- Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces with a Recurrent Neural Network
- (2018) Allen Zhang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network
- (2018) Xincong Yang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Detection of Asphalt Pavement Potholes and Cracks Based on the Unmanned Aerial Vehicle Multispectral Imagery
- (2018) Yifan Pan et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Automatic Pavement Crack Detection by Multi-Scale Image Fusion
- (2018) Haifeng Li et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Monitoring of pavement deflections using geophones
- (2018) Ngoc Son Duong et al. International Journal of Pavement Engineering
- Automatic pavement defect detection using 3D laser profiling technology
- (2018) Dejin Zhang et al. AUTOMATION IN CONSTRUCTION
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
- (2018) Qin Zou et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Cracking Classification Using Minimum Rectangular Cover–Based Support Vector Machine
- (2017) Shaofan Wang et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Image Based Techniques for Crack Detection, Classification and Quantification in Asphalt Pavement: A Review
- (2016) H. Zakeri et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Automatic Crack Detection on Two-Dimensional Pavement Images: An Algorithm Based on Minimal Path Selection
- (2016) Rabih Amhaz et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Automatic Road Crack Detection Using Random Structured Forests
- (2016) Yong Shi et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Development of the pavement structural health index based on falling weight deflectometer testing
- (2016) Omar Elbagalati et al. International Journal of Pavement Engineering
- Effects of Pavement Surface Conditions on Traffic Crash Severity
- (2015) Jaeyoung Lee et al. JOURNAL OF TRANSPORTATION ENGINEERING
- Effects of Pavement Surface Conditions on Traffic Crash Severity
- (2015) Jaeyoung Lee et al. JOURNAL OF TRANSPORTATION ENGINEERING
- Automatic Road Crack Detection and Characterization
- (2012) Henrique Oliveira et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Relationship between Pavement Roughness and Distress Parameters for Indian Highways
- (2012) Satish Chandra et al. JOURNAL OF TRANSPORTATION ENGINEERING
- Automatic Road Defect Detection by Textural Pattern Recognition Based on AdaBoost
- (2011) Aurélien Cord et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- CrackTree: Automatic crack detection from pavement images
- (2011) Qin Zou et al. PATTERN RECOGNITION LETTERS
- Analysis of the traffic injury severity on two-lane, two-way rural roads based on classification tree models
- (2011) Ali Tavakoli Kashani et al. SAFETY SCIENCE
- Adaptive Road Crack Detection System by Pavement Classification
- (2011) Miguel Gavilán et al. SENSORS
- Investigating effects of asphalt pavement conditions on traffic accidents in Tennessee based on the pavement management system (PMS)
- (2010) Chun Yip Chan et al. JOURNAL OF ADVANCED TRANSPORTATION
- Neural Network-Based Approach for Analysis of Rigid Pavement Systems Using Deflection Data
- (2009) M. Birkan Bayrak et al. TRANSPORTATION RESEARCH RECORD
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now