Cost-effective Approach Towards Building a Traffic Sign Data Inventory Using Open Street Images

Traffic signs are critical assets for roadway and infrastructure management. They are also in a great variety and different conditions. According to the asset management plan proposed by US DOT, the research team proposes a cost - effective approach to build a traffic sign data inventory using open street images. The system consists of three sub-systems. Firstly, the data collection system can capture the real-time open street image data along with the associated information. Secondly, the team will train a traffic sign detection and recognition model to extract the information from original images. Finally, the data storage system will store the recognition results as well as associate information into the database.

Language

  • English

Project

Subject/Index Terms

Filing Info

  • Accession Number: 01842981
  • Record Type: Research project
  • Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
  • Contract Numbers: 69A3551747124
  • Files: UTC, RIP
  • Created Date: Apr 21 2022 11:58AM