Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 21, 2017Computer-Aided Civil and Infrastructure EngineeringOpen Access

Automated Pixel‐Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep‐Learning Network

View Full Paper
Ask AI
Bookmark
Share

Authors

AZAllen ZhangSouthwest Jiaotong UniversityKWKelvin C. P. WangWestern Transportation InstituteBLBaoxian LiShenyang Jianzhu University

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Zhang et al. (2017) studied this question.

synapsesocial.com/papers/6aa2183f1200e6cee580d17ahttps://doi.org/10.1111/mice.12297
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Automatic inspection of pavement cracking distress2006 · 215 citations
  2. 2Real-Time Image Thresholding Based on Sample Space Reduction and Interpolation Approach2003 · 139 citations
  3. 3Applications of particle swarm optimization in the railway domain2016 · 64 citations
  4. 4Histogram‐Based Approach for Automated Pavement‐Crack Sensing1992 · 133 citations
  5. 5Ensemble of Deep Convolutional Neural Networks for Learning to Detect\n Retinal Vessels in Fundus Images2016 · 81 citations