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
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
Awarded by Australian Research Council
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.