Infrastructure-Independent Indoor Localization and Navigation

Stephan Winter; Martin Tomko; Maria Vasardani; Kai-Florian Richter; Kourosh Khoshelham; Mohsen Kalantari

Journal article

Infrastructure-Independent Indoor Localization and Navigation

Stephan Winter, Martin Tomko, Maria Vasardani, Kai-Florian Richter, Kourosh Khoshelham, Mohsen Kalantari

ACM Computing Surveys | Association for Computing Machinery (ACM) | Published : 2019

DOI: 10.1145/3321516

Abstract

In the absence of any global positioning infrastructure for indoor environments, research on supporting human indoor localization and navigation trails decades behind research on outdoor localization and navigation. The major barrier to broader progress has been the dependency of indoor positioning on environment-specific infrastructure and resulting tailored technical solutions. Combined with the fragmentation and compartmentalization of indoor environments, this poses significant challenges to widespread adoption of indoor location-based services. This article puts aside all approaches of infrastructure-based support for human indoor localization and navigation and instead reviews technica..

View full abstract

University of Melbourne Researchers

Stephan Winter Author

Martin Tomko Author

Kourosh Khoshelham Author

Mohsen Kalantari Soltanieh Author

Related Projects (3)

Talking about Place - Tapping Human Knowledge to Enrich National Spatial Data Sets

Place descriptions are a common way for people to describe a location, but no current tools are smart enough to understand them. Emergency c..

Making human place knowledge digestible by computers

This project aims to develop the tools that will enable people to interact intuitively with computers about places and the relations between..

Self-Healing Maps: protecting maps through automatic updating processes.

This project aims to expand our ability to automatically integrate real-time data in map databases of high integrity. Our ability to sense t..

Grants

Awarded by Anacostia Community Museum

Funding Acknowledgements

Research underlying this article has been supported by the Australian Research Council, LP100200199, DP170100109, and DP170100153. An abridged version of this article has appeared in the ACM SIGSPATIAL Newsletter.