Deep convolution neural network for crack detection on asphalt pavement

Volume: 1349, Issue: 1, Pages: 012020 - 012020
Published: Nov 1, 2019
Abstract
Asphalt cracks are one of the major road damage problems in civil field as it may potentially threaten the road and highway safety. Crack detection and classification is a challenging task because complicated pavement conditions due to the presence of shadows, oil stains and water spot will result in poor visual and low contrast between cracks and the surrounding pavement. In this paper, the network proposed a fully automated crack detection and...
Paper Details
Title
Deep convolution neural network for crack detection on asphalt pavement
Published Date
Nov 1, 2019
Volume
1349
Issue
1
Pages
012020 - 012020
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.