• DocumentCode
    3289206
  • Title

    ITS navigation and live timetables for the blind based on RFID robotic localization algorithms and ZigBee broadcasting

  • Author

    Taie, Mostafa Anwar ; NasrEldin, Karim Mohammed ; ElHelw, Mohamed

  • Author_Institution
    Center for Inf. Sci., Nile Univ., Cairo, Egypt
  • fYear
    2013
  • fDate
    12-14 Dec. 2013
  • Firstpage
    139
  • Lastpage
    144
  • Abstract
    This paper tries to alleviate some challenges facing blind and visually impaired people in public transportation systems by providing them with in-station navigation information and real-time schedule information. Novel system architecture for the Intelligent Transportation Systems (ITS) navigation for blind and visually impaired people based on recent Radio Frequency Identification (RFID) localization technologies, commonly used in robotics, is proposed. Furthermore, a live timetable using a new ZigBee network broadcasting protocol with detailed frame structure is used for provision of real-time schedule information. The elements of the proposed system and their functionality are detailed while the presented experimental results demonstrate the potential of proposed system.
  • Keywords
    Zigbee; handicapped aids; intelligent transportation systems; navigation; protocols; public transport; radiofrequency identification; robots; ITS navigation; RFID robotic localization; ZigBee network broadcasting protocol; blind people; in-station navigation information; intelligent transportation systems; live timetable; public transportation systems; radio frequency identification; real-time schedule information; robotics; visually impaired people; Broadcasting; Floors; Handheld computers; Navigation; Protocols; Radiofrequency identification; Zigbee; Blind and Blind-Deaf; ITS Navigation; Localization; Mapping; RFID; Robotics; ZigBee Broadcasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ROBIO.2013.6739449
  • Filename
    6739449