Pavement crack mosaicking based on crack detection quality

Y. Yoon, S. Bang, F. Baek, H. Kim

Research output: Contribution to conferencePaper

Abstract

A vehicle-mounted video camera, which is one of low-cost off-the-shelf devices, can be used economically for pavement crack monitoring. The pavement frames obtained by the video camera can be merged to form a mosaic image, from which road distress information can be extracted. However, quality of crack detection in the frames is different from one another. The different level of crack detection quality should be considered for accurate construction of crack mosaic. This paper proposes a new pavement crack mosaicking method based on quality of crack detection in each frame. A convolutional neural network is suggested as a way to evaluate the quality of crack detection in the video frames. The proposed method showed a promising mosaicking performance compared to other existing methods.

Original languageEnglish
Pages1197-1201
Number of pages5
Publication statusPublished - 2019 Jan 1
Event36th International Symposium on Automation and Robotics in Construction, ISARC 2019 - Banff, Canada
Duration: 2019 May 212019 May 24

Conference

Conference36th International Symposium on Automation and Robotics in Construction, ISARC 2019
CountryCanada
CityBanff
Period19/5/2119/5/24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Building and Construction
  • Human-Computer Interaction

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  • Cite this

    Yoon, Y., Bang, S., Baek, F., & Kim, H. (2019). Pavement crack mosaicking based on crack detection quality. 1197-1201. Paper presented at 36th International Symposium on Automation and Robotics in Construction, ISARC 2019, Banff, Canada.