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Medientyp:
E-Artikel
Titel:
CAPRIO : graph-based integration of indoor and outdoor data for path discovery
:
graph-based integration of indoor and outdoor data for path discovery
Beteiligte:
Costa, Constantinos;
Ge, Xiaoyu;
Chrysanthis, Panos K.
Erschienen:
Association for Computing Machinery (ACM), 2019
Erschienen in:
Proceedings of the VLDB Endowment, 12 (2019) 12, Seite 1878-1881
Sprache:
Englisch
DOI:
10.14778/3352063.3352089
ISSN:
2150-8097
Entstehung:
Anmerkungen:
Beschreibung:
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.