Traffic Sign Extraction from Mobile LiDAR Point Cloud [Research Brief]

Details

• Creators:
  Ahn, Yushin ; Munjy, Riadh ; Li, Ziyuan
• Corporate Creators:
  San Jose State University. College of Business. Mineta Transportation Institute
• Corporate Contributors:
  State of California SB1 2017/2018, Trustees of the California State University Sponsored Programs Administration ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  • Transportation
  • Traffic signs
  • Laser radar
  • Mobile applications
  • Geographic information systems
  • Data
  • Cloud computing MTLS
  • Mobile LiDAR
  • Point Cloud
• Publication/ Report Number:
  Project 2354
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Edition:
  Research Brief
• Corporate Publisher:
  Mineta Transportation Institute
• Abstract:
  This study focuses on the development and refinement of techniques for the extraction of traffic signs from Mobile LiDAR point cloud data. Accurate detection and localization of traffic signs play a pivotal role in enhancing road safety, navigation systems, and intelligent transportation solutions. The utilization of LiDAR technology in this context opens up new possibilities for automating the process of traffic sign recognition and mapping.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/75583/dot_75583_DS1.pdf
• File Type:
  [PDF - 632.38 KB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:ba3344102b07486cfa5bd6a4d538784b440c9f5cf8db732fca8464a3fcf878b478fdaf9cbcbf6e58fd61a79745b97d3c0af76e894c58d6bfba2b68dd57234ff1