Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features

Driving digital rock towards machine learning: Predicting permeability with gradient boosting and deep neural networks

(2019) Oleg Sudakov et al.   COMPUTERS & GEOSCIENCES

Accurate and robust crack detection using steerable evidence filtering in electroluminescence images of solar cells

(2019) Haiyong Chen et al.   OPTICS AND LASERS IN ENGINEERING

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

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Crack Damage Detection Method via Multiple Visual Features and Efficient Multi-Task Learning Model

(2018) Baoxian Wang et al.   SENSORS

Pixel-Wise Crack Detection Using Deep Local Pattern Predictor for Robot Application

(2018) Yundong Li et al.   SENSORS

An Efficient Color Space for Deep-Learning Based Traffic Light Recognition

(2018) Hyun-Koo Kim et al.   JOURNAL OF ADVANCED TRANSPORTATION

Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique

(2018) Byunghyun Kim et al.   SENSORS

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

(2018) Qin Zou et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Aerial LaneNet: Lane-Marking Semantic Segmentation in Aerial Imagery Using Wavelet-Enhanced Cost-Sensitive Symmetric Fully Convolutional Neural Networks

(2018) Seyed Majid Azimi et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Efficient and robust deep networks for semantic segmentation

(2017) Gabriel L Oliveira et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Car Detection from Low-Altitude UAV Imagery with the Faster R-CNN

(2017) Yongzheng Xu et al.   JOURNAL OF ADVANCED TRANSPORTATION

Efficient pavement crack detection and classification

(2017) A. Cubero-Fernandez et al.   EURASIP Journal on Image and Video Processing

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

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

(2015) Christian Koch et al.   ADVANCED ENGINEERING INFORMATICS

Multiscale Crack Fundamental Element Model for Real-World Pavement Crack Classification

(2012) Yi-Chang (James) Tsai et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

FoSA: F* Seed-growing Approach for crack-line detection from pavement images

(2011) Qingquan Li et al.   IMAGE AND VISION COMPUTING

CrackTree: Automatic crack detection from pavement images

(2011) Qin Zou et al.   PATTERN RECOGNITION LETTERS

Critical Assessment of Pavement Distress Segmentation Methods

(2009) Yi-Chang Tsai et al.   JOURNAL OF TRANSPORTATION ENGINEERING