CAPRIO: Graph-based Integration of Indoor and Outdoor Data for Path Discovery

被引：10
|
作者：
Costa, Constantinos [1 ]
Ge, Xiaoyu [1 ]
Chrysanthis, Panos K. [1 ]
机构：
[1] Univ Pittsburgh, Dept Comp Sci, Pittsburgh, PA 15260 USA
来源：
PROCEEDINGS OF THE VLDB ENDOWMENT | 2019年 / 12卷 / 12期
关键词：
D O I：
10.14778/3352063.3352089
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Recently, navigation and localization systems have emerged to support queries like the shortest distance in either indoor or outdoor with additional constraints. These systems, however, neither combine the indoor and outdoor information nor consider the external natural conditions like the weather that one may face across an outdoor path. In this demonstration paper we present CAPRIO, which proposes and implements a novel graph representation that integrates indoor and outdoor information to discover paths that personalize outdoor exposure while minimizes the overall path length. We also demonstrate how unifying the graph algorithms for indoor and outdoor navigation enables significant optimizations that would not be possible otherwise.
引用
收藏
页码：1878 / 1881
页数：4
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