Automated pavement crack detection and segmentation based on two‐step convolutional neural network

A cost effective solution for pavement crack inspection using cameras and deep neural networks

(2020) Qipei Mei et al.   CONSTRUCTION AND BUILDING MATERIALS

Encoder-decoder network for pixel-level road crack detection in black-box images

(2019) Seongdeok Bang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Faster region convolutional neural network for automated pavement distress detection

(2019) Liang Song et al.   Road Materials and Pavement Design

Segment-based pavement crack quantification

(2019) Xingxing Weng et al.   AUTOMATION IN CONSTRUCTION

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

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

Investigation of fatigue and thermal cracking behavior of rejuvenated reclaimed asphalt pavement binders and mixtures

(2018) Mohamed Elkashef et al.   INTERNATIONAL JOURNAL OF FATIGUE

Optimized minimal path selection (OMPS) method for automatic and unsupervised crack segmentation within two-dimensional pavement images

(2018) Wissam Kaddah et al.   VISUAL COMPUTER

Automatic Pixel-Level Pavement Crack Detection Using Information of Multi-Scale Neighborhoods

(2018) Dihao Ai et al.   IEEE Access

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 Pavement Crack Detection by Multi-Scale Image Fusion

(2018) Haifeng Li et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

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

Autonomous concrete crack detection using deep fully convolutional neural network

(2018) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

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

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Predicting thermal cracking of asphalt pavements from bitumen and mix properties

(2017) Bagdat Teltayev et al.   Road Materials and Pavement Design

Automatic Road Crack Detection Using Random Structured Forests

(2016) Yong Shi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

An optimum selection strategy of reflective cracking mitigation methods for an asphalt concrete overlay over flexible pavements

(2016) Behnam Golestani et al.   International Journal of Pavement Engineering

Life cycle environmental benefits of pavement surface maintenance

(2014) Luc Pellecuer et al.   CANADIAN JOURNAL OF CIVIL ENGINEERING

A Pavement Crack Detection Method Combining 2D with 3D Information Based on Dempster-Shafer Theory

(2013) Jianping Huang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

CrackTree: Automatic crack detection from pavement images

(2011) Qin Zou et al.   PATTERN RECOGNITION LETTERS

Beamlet Transform-Based Technique for Pavement Crack Detection and Classification

(2010) L. Ying et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Recurrent Neural Network for Approximate Earthquake Time and Location Prediction Using Multiple Seismicity Indicators

(2009) Ashif Panakkat et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING