Landslides: 3D Reconstruction with Smartphone Images

Details

• Creators:
  Mertz, Christoph
• Corporate Creators:
  Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC)
• Corporate Contributors:
  Center for the Multi-Modal Mobility in Urban, Rural and Tribal Areas (CMMM) Tier-1 University Transportation Center (UTC) ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Landslides
  • Smartphones
  • Reconstruction
  • Slope stability
  • Computer vision
  • Image analysis Three-dimensional analysis
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report (July 1, 2024 – June 30, 2025)
• Corporate Publisher:
  Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC)
• Abstract:
  In this project we explore the usage of 3D reconstruction to monitor and measure landslides. We took images of a landslide prone area in late Fall 2024 and late Spring 2025. We used COLMAP to make a 3D point cloud out of the images and with CloudCompare we measure the difference between the two-point clouds and thereby detect changes. In our experiment we are able to detect a rock that was dislodged, vegetation growth and accumulation of rocks.
• Format:
  PDF
• Funding:
  69A3552344811 / 69A3552348316
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/86164/dot_86164_DS1.pdf
• File Type:
  [PDF - 3.78 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:31c27e9dfe660612896576bfffc459625a8e9d5756e7248e40fd66b227c0fe88aaf445a496152180c220f579375bc5c15836fb32e538ad74178ea91d80453a1d