The next generation of navigational services using OpenStreetMap data: The integration of augmented reality and graph databases

被引:13
作者
Amirian, Pouria [1 ]
Basiri, Anahid [2 ]
Gales, Guillaume [3 ]
Winstanley, Adam [3 ]
McDonald, John [3 ]
机构
[1] The Global Health Network, The University of Oxford, Oxford
[2] Nottingham Geospatial Institute, The University of Nottingham, Nottingham
[3] Department of Computer Science, Maynooth University, Kildare
来源
Lecture Notes in Geoinformation and Cartography | 2015年 / 0卷 / 9783319142791期
基金
爱尔兰科学基金会;
关键词
Augmented reality; Graph database; Navigation services; OpenStreetMap; Polyglot geospatial data persistence;
D O I
10.1007/978-3-319-14280-7_11
中图分类号
学科分类号
摘要
The OpenStreetMap (OSM) project is the most successful collaborative geospatial content generation project. The distinguishing attribute of OSM is free access to huge amounts of geospatial data, which has resulted in hundreds of commercial and non-commercial web and mobile applications and services. The OSM data is freely available and that is why the data can be used within many data infrastructure applications and value-added services. In addition, the free access to data has led to the growth of OSM as a replacement of propriety systems in academic and business environments. This chapter describes the implementation of a navigational application using OSM data as part of the eCampus project in Maynooth University (formerly known as National University of Ireland Maynooth or NUIM). The application provides users several navigation services with navigational instructions through standard textual and cartographic interfaces and also through augmented images showing way-finding objects. There are many navigation services available over the internet; however, the navigation services in this chapter are implemented using a graph database which can be used in connected as well as disconnected modes (online and offline). In addition to the graph database, there is a spatial database for storage and management of images in the system. In other words, the implemented eCampus uses polyglot geospatial data persistence in order to get the best features of several storage systems in a single system in contrast to many traditional storage systems in which all data is stored in a single storage system. The evaluation of the eCampus application by the target users of university students and staff indicated that the visual navigation service using augmented reality provides an intuitive interface that could be integrated into augmented reality systems. © 2015, Springer International Publishing Switzerland.
引用
收藏
页码:211 / 228
页数:17
相关论文
共 26 条
[1]  
Abadi D., Boncz P., Harizopoulos S., Madden S., The Design and Implementation of Modern Column-Oriented Database Systems, (2014)
[2]  
Afyouni I., Ray C., Claramunt C., Spatial models for context-aware indoor navigation systems: A survey, J Spat Inf Sci, 4, 2014, pp. 85-123, (2014)
[3]  
Amirian P., Alesheikh A.A., Basiri A., Standard-based, interoperable services for accessing urban services data, Comput Environ Urban Syst, 34, 4, pp. 309-321, (2010)
[4]  
Amirian P., Basiri A., Winstanley A., Efficient online sharing of geospatial big data using NoSQL XML databases. Computing for geospatial research and application (COM. Geo), Fourth International Conference on Computing for Geospatial Research and Application (COM. Geo), pp. 150-152, (2013)
[5]  
Amirian P., Basiri A., Winstanley A., Evaluation of data management systems for geospatial big data, Proceedings of the 14Th International Conference on Computational Science and Its Applications (ICCSA 2014), 8583, pp. 678-690, (2014)
[6]  
Angles R., Gutierrez C., Survey of graph database models, ACM Comput Surv, 40, 1, pp. 1-39, (2008)
[7]  
Bader D., Feo J., Gilbert J., Kepner J., Koester D., Hpc scalable graph analysis benchmark. Citeseer, Citeseer, 2009, pp. 1-10, (2009)
[8]  
Basiri A., Amirian P., Winstanley A., Use of graph databases in tourist navigation application, The 14Th International Conference on Computational Science and Its Applications (ICCSA 2014), pp. 663-677, (2014)
[9]  
Basiri A., Amirian P., Winstanley A., The use of quick response (QR) codes in landmarkbased pedestrian navigation, Int J Navig Obs, 1, (2014)
[10]  
Bass B., Nosql Spatial: Neo4j versus Postgis. Geographic Information Management and Applications (GIMA), (2012)