Concrete roadway crack segmentation using encoder-decoder networks with range images

Recently, researchers have utilized DCNN for pixel-wise crack classification through semantic segmentation. Nevertheless, some issues in current DCNN-based roadway crack segmentation are yet to be fully addressed. For example, image pre-processing techniques are often required to eliminate the surface variations in range images, which may bring uncertainties due to subjective parameter selection; besides, disturbances from many non-crack patterns such as pavement grooves can deteriorate the crack segmentation performance, which remains a challenge for current DCNN-based methodologies. This paper proposes a methodology based on encoder-decoder networks to achieve pixel-wise crack classification performance on laser-scanned range images, under the disturbance of surface variations and grooved patterns in concrete pavements. The raw range data is directly applied in this methodology without any pre-processing. A comparative study is performed to determine the optimal architecture layout among twelve proposed candidates. Meanwhile, the influence of residual connections on DCNN performance is investigated and demonstrated.

• Record URL:
  • https://doi.org/10.1016/j.autcon.2020.103403
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0926580520309833
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09265805
• Supplemental Notes:
  • © 2020 Elsevier B.V. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Zhou, Shanglian
  • Song, Wei
• Publication Date: 2020-12

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Serial:
  • Automation in Construction
  • Volume: 120
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0926-5805
  • Serial URL: http://www.sciencedirect.com/science/journal/09265805

Subject/Index Terms

• TRT Terms: Concrete pavements; Cracking; Image coding; Networks; Neural networks; Pavement grooving; Roads
• Subject Areas: Construction; Highways; Pavements;

Filing Info

• Accession Number: 01755041
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 21 2020 9:52AM