Up-to-Date City Maps for Modeling, Planning, and Assistive Technologies

Digital maps are important for many different aspects of intelligent transportation. They are needed to model traffic patterns, to plan infrastructure upkeep, or for navigation for different traffic participants. These maps not only need to contain roads and all the transportation relevant objects like lane markings and traffic signs, but also their state of repair, compliance with regulations, and suitability for various users. The last point is particular important for people who use wheelchairs, they not only need to know if there is a sidewalk but also if the sidewalk is wide enough and well maintained. Traditional methods to create such maps are manual surveying or surveying vehicles that make use of specialty sensors. These methods are often cost prohibitive to keep maps up-to-date. The authors' proposed approach is to use inexpensive sensors on a fleet of vehicles that drive on the road for other purposes. The authors built on their experience with creating maps of road damage and stop signs. In this work the authors expand detection to other traffic signs and lane markings and estimate retroreflectivity of signs. The authors also want to detect damage, vandalism and vegetation overgrowth. The authors paid particular attention to gather information for traffic participants other than drivers by detecting sidewalks and tactile patches.

  • Record URL:
  • Summary URL:
  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Technologies for Safe and Efficient Transportation University Transportation Center

    Carnegie Mellon University
    Pittsburgh, PA  United States  15213

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Authors:
    • Mertz, Christoph
  • Publication Date: 2018-11

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Research Report
  • Features: Figures; Photos; References; Tables;
  • Pagination: 14p

Subject/Index Terms

Filing Info

  • Accession Number: 01686339
  • Record Type: Publication
  • Contract Numbers: DTRT-13-GUTC-26
  • Files: UTC, TRIS, ATRI, USDOT
  • Created Date: Nov 21 2018 11:42AM