• DocumentCode
    1772750
  • Title

    Demonstrating map++: A crowd-sensing system for automatic map semantics identification

  • Author

    Sheikh, Shuja Jamil ; Basalamah, Anas ; Aly, Heba ; Youssef, Moustafa

  • Author_Institution
    KACST GIS Tech. Innov. Ctr., Umm Al-Qura Univ., Makkah, Saudi Arabia
  • fYear
    2014
  • fDate
    June 30 2014-July 3 2014
  • Firstpage
    152
  • Lastpage
    154
  • Abstract
    Digital maps have become a part of our everyday lives as they are integrated into a wide range of map-based services like traffic estimation, navigation systems, and many more. These services still have a huge opportunity for enhancements with semantically richer maps to support a large class of new services. In this demo, we demonstrate the MAP++ crowd-sensing system for map semantics identification. Map++ leverages standard smart-phone sensors to automatically enrich digital maps with various road semantics such as bridges, crossroads, roundabouts, underpasses, among others. The goal of this demo is to showcase Map++ in action where it takes crowd-sensed motion traces and process them automatically in real-time to identify the map semantics. The demo also allows attendees to analyze the effect of the Map++ different parameters on system performance and road semantics.
  • Keywords
    cartography; Map++ crowd-sensing system; automatic map semantics identification; bridges; crossroads; crowd-sensed motion traces; digital maps; map-based services; navigation systems; road semantics; roundabouts; smart-phone sensors; system performance; traffic estimation; underpasses; Bridges; Feature extraction; Google; Roads; Semantics; Sensors; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensing, Communication, and Networking (SECON), 2014 Eleventh Annual IEEE International Conference on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/SAHCN.2014.6990340
  • Filename
    6990340