Affiliation:
1. The University of Melbourne, Australia
2. Umeå University, Sweden
Abstract
In this short article we present concepts of indoor localization and navigation that are independent of sensors embedded in the environment, and thus, standing against the tide of technology-based indoor localization. The motivation for doing so is clear: We seek solutions that are independent of particular environments, and thus globally applicable.
Publisher
Association for Computing Machinery (ACM)
Cited by
1 articles.
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1. A topology-based graph data model for indoor spatial-social networking;International Journal of Geographical Information Science;2021-04-14