Demonstrating Map plus plus : A Crowd-sensing System for Automatic Map Semantics Identification

被引:0
作者
Sheikh, Shuja Jamil [2 ]
Basalamah, Anas [1 ,2 ]
Aly, Heba [3 ]
Youssef, Moustafa [4 ,5 ]
机构
[1] Umm Al Qura Univ, Comp Engn Dept, Mecca, Saudi Arabia
[2] Umm Al Qura Univ, KACST GIS Tech Innov Ctr, Mecca, Saudi Arabia
[3] Alexandria Univ, Dept Comp & Sys Engn, Alexandria, Egypt
[4] Alexandria Univ, Wireless Res Ctr, Alexandria, Egypt
[5] E JUST, New Borg El Arab, Egypt
来源
2014 ELEVENTH ANNUAL IEEE INTERNATIONAL CONFERENCE ON SENSING, COMMUNICATION, AND NETWORKING (SECON) | 2014年
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:152 / 154
页数:3
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