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

نویسندگان

  • Shuja Jamil Sheikh
  • Anas Basalamah
  • Heba Aly
  • Moustafa Youssef
چکیده

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.

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تاریخ انتشار 2014