Related references
Note: Only part of the references are listed.Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces with a Recurrent Neural Network
Allen Zhang et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2019)
Automatic Pixel-Level Pavement Crack Detection Using Information of Multi-Scale Neighborhoods
Dihao Ai et al.
IEEE ACCESS (2018)
Image Based Techniques for Crack Detection, Classification and Quantification in Asphalt Pavement: A Review
H. Zakeri et al.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2017)
Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep-Learning Network
Allen Zhang et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)
Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
Young-Jin Cha et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)
Automatic Crack Detection on Two-Dimensional Pavement Images: An Algorithm Based on Minimal Path Selection
Rabih Amhaz et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2016)
Automatic Road Crack Detection Using Random Structured Forests
Yong Shi et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2016)
Study of a new vehicle detection algorithm based on linear CCD images
Fan Yao et al.
OPTIK (2015)
AUTOMATIC PAVEMENT CRACK RECOGNITION BASED ON BP NEURAL NETWORK
Li Li et al.
PROMET-TRAFFIC & TRANSPORTATION (2014)
Automatic Crack Detection and Segmetnation Using A Hybrid Algorithm for Road Distress Analysis
Jinshan Tang et al.
2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013) (2013)
Share Paper
