Hybrid NFC and Vision Based Navigation System in Subways for the Blind and Visually Impaired

Details

• Creators:
  Ganz, Aura ; Collura, John
• Corporate Creators:
  University of Massachusetts at Amherst ; New England University Transportation Center
• Subject/TRT Terms:
  • Algorithms
  • Assistive technology
  • Blind persons
  • Navigational aids
  • Pedestrians
  • Smartphones
  • Visually impaired persons
  • Subways
  • Pedestrians and Bicyclists
  • Planning and Forecasting
  More +
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• TRIS Online Accession Number:
  01590467
• Edition:
  Final Report
• Corporate Publisher:
  New England University Transportation Center
• Abstract:
  This research introduces an indoor navigation system for blind and visually impaired users. The authors deploy visual tags in the environment at specific landmarks and introduce a visual tag detection algorithm using a sampling probe and cascading approach. Guidelines are provided to determine the visual tag size which is a function of various environmental and usage scenarios, which differ in lighting, dimensions of the indoor environment and angle of usage. The authors also developed a Smartphone based user interface for the visually impaired users that uses Android accessibility features.
• Format:
  PDF
• Funding:
  DTRT12-G-UTC01
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/39685/dot_39685_DS1.pdf
• File Type:
  [PDF - 64.97 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:5db5228a32778a8bc71bd2c23fcd006ae55c16ee861c2519f9a9efb5d6ce9dba