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SHREC 2022: Pothole and crack detection in the road pavement using images and RGB-D data

  • Published:2022-10 Issue: Volume:107 Page:161-171
  • ISSN:0097-8493
  • Container-title:Computers & Graphics
  • language:en
  • Short-container-title:Computers & Graphics

Author:

Moscoso Thompson Elia,Ranieri Andrea,Biasotti Silvia,Chicchon Miguel,Sipiran Ivan,Pham Minh-Khoi,Nguyen-Ho Thang-Long,Nguyen Hai-Dang,Tran Minh-Triet

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference51 articles.

1. Application of image technology on pavement distress detection: A review;Du;Measurement,2021

2. Bumpy road ahead: TRIP (national transportation research nonprofit),2018

3. Recognition, location, measurement, and 3D reconstruction of concealed cracks using convolutional neural networks;Tong;Constr Build Mater,2017

4. Review and analysis of pothole detection methods;Kim;J Emerg Trends Comput Inf Sci,2014

5. Image based techniques for crack detection, classification and quantification in asphalt pavement: A review;Zakeri;Arch Comput Methods Eng,2017

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