Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
May 3, 2024Journal of Construction Engineering and Management

LiDAR-Based Automatic Pavement Distress Detection and Management Using Deep Learning and BIM

View Full Paper
Ask AI
Bookmark
Share

Authors

YTYi TanTDTing DengJZJingyu Zhou

Discussion

Loading...

Member takes

Overview

Key Points

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

Cite This Study

Tan et al. (2024) studied this question.

synapsesocial.com/papers/68e6b93cb6db64358763a819https://doi.org/10.1061/jcemd4.coeng-14358
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. 1Applying a Combination of the YOLOv8 Model and 3D Point Cloud Images in Asphalt Pavement Maintenance2026
  2. 2Terrestrial LiDAR derived 3D point cloud model, digital elevation model (DEM) and hillshade map for identification and evaluation of pavement distresses2024 · 8 citations
  3. 3An Automated Method for Pavement Surface Distress Evaluation2024 · 4 citations
  4. 4Long-Tail Learning for Three-Dimensional Pavement Distress Segmentation Using Point Clouds Reconstructed from a Consumer Camera2026 · 2 citations
  5. 5Bridging Image-Based Detection and Field Evaluation: A Semi-Automated Pavement Distress Assessment Framework2026