Advanced pavement distress recognition and 3D reconstruction by using GA-DenseNet and binocular stereo vision

Author:

Li Jiale,Liu Tao,Wang Xuefei

Funder

Natural Science Foundation of Hebei Province

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference56 articles.

1. The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis;Hou;Engineering,2021

2. Compaction quality evaluation of subgrade based on soil characteristics assessment using machine learning;Wang;Transp. Geotech.,2022

3. Research on Asphalt Pavement Diseases and Construction Quality Control under the Background of Big Data;Ye;J. Phys. Conf. Ser.,2021

4. Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection;Yang;IEEE Trans. Intell. Transp. Syst.,2020

5. Y. Wang, Research on Disease Types and Treatment Technology for Asphalt Pavement of Ji-Qing Highway, master thesis, Jilin University, 2011, https://kns.cnki.net/kns8/defaultresult/index.

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