The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis

Deep machine learning approach to develop a new asphalt pavement condition index

(2020) Hamed Majidifard et al.   CONSTRUCTION AND BUILDING MATERIALS

Group Normalization

(2019) Yuxin Wu et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

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

Innovative method for recognizing subgrade defects based on a convolutional neural network

(2018) Zheng Tong et al.   CONSTRUCTION AND BUILDING MATERIALS

Airport pavement responses obtained from wireless sensing network upon digital signal processing

(2018) Zejiao Dong et al.   International Journal of Pavement Engineering

Image Processing–Based Classification of Asphalt Pavement Cracks Using Support Vector Machine Optimized by Artificial Bee Colony

(2018) Nhat-Duc Hoang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Deep Learning–Based Fully Automated Pavement Crack Detection on 3D Asphalt Surfaces with an Improved CrackNet

(2018) Allen Zhang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Automatic Recognition of Asphalt Pavement Cracks Based on Image Processing and Machine Learning Approaches: A Comparative Study on Classifier Performance

(2018) Nhat-Duc Hoang et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Region Based CNN for Foreign Object Debris Detection on Airfield Pavement

(2018) Xiaoguang Cao et al.   SENSORS

A Vibration-Based Vehicle Classification System using Distributed Optical Sensing Technology

(2018) Hongduo Zhao et al.   TRANSPORTATION RESEARCH RECORD

Convolutional Neural Network for Asphalt Pavement Surface Texture Analysis

(2018) Zheng Tong et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete

(2018) Sattar Dorafshan et al.   CONSTRUCTION AND BUILDING MATERIALS

Improving accuracy of rutting prediction for mechanistic-empirical pavement design guide with deep neural networks

(2018) Hongren Gong et al.   CONSTRUCTION AND BUILDING MATERIALS

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

Convolutional Neural Network–Based Friction Model Using Pavement Texture Data

(2018) Guangwei Yang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

New machine learning-based prediction models for fracture energy of asphalt mixtures

(2018) Hamed Majidifard et al.   MEASUREMENT

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

Continuous health monitoring of pavement systems using smart sensing technology

(2016) Amir H. Alavi et al.   CONSTRUCTION AND BUILDING MATERIALS

Detection crack in image using Otsu method and multiple filtering in image processing techniques

(2016) Ahmed Mahgoub Ahmed Talab et al.   OPTIK

Monitoring the Speed, Configurations, and Weight of Vehicles Using an In-Situ Wireless Sensing Network

(2015) Wenjing Xue et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A Prototype Integrated Monitoring System for Pavement and Traffic Based on an Embedded Sensing Network

(2015) Wenjing Xue et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Sampling optimization for high-speed weigh-in-motion measurements using in-pavement strain-based sensors

(2015) Zhiming Zhang et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

A new smart traffic monitoring method using embedded cement-based piezoelectric sensors

(2015) Jinrui Zhang et al.   Smart Materials and Structures

Hybrid ABC-ANN for pavement surface distress detection and classification

(2015) Anan Banharnsakun   International Journal of Machine Learning and Cybernetics

Internet of Things (IoT): A vision, architectural elements, and future directions

(2013) Jayavardhana Gubbi et al.   Future Generation Computer Systems-The International Journal of eScience

Pavement Health Monitoring System Based on an Embedded Sensing Network

(2013) Wenjing Xue et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Batch gradient method with smoothing regularization for training of feedforward neural networks

(2013) Wei Wu et al.   NEURAL NETWORKS

Pavement Shear Strain Response to Dual and Wide-Base Tires

(2011) Wenjing Xue et al.   TRANSPORTATION RESEARCH RECORD

A Wireless, Passive Embedded Sensor for Real-Time Monitoring of Water Content in Civil Engineering Materials

(2008) Justin B. Ong et al.   IEEE SENSORS JOURNAL

An Experimental Investigation of Applying Mica2 Motes in Pavement Condition Monitoring

(2008) Jin-Song Pei et al.   JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES

A Novel Vehicle Classification Using Embedded Strain Gauge Sensors

(2008) Wenbin Zhang et al.   SENSORS

A Special Fiber Optic Sensor for Measuring Wheel Loads of Vehicles on Highways

(2008) Ramesh Malla et al.   SENSORS

Wireless magnetic sensors for traffic surveillance

(2007) Amine Haoui et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES