HumanitiesRobotics EngineeringLocalizationMobile ComputingSensor FusionIndoor LocalizationLocation PrivacyMap-based LocalizationPose EstimationSensor Fusion For LocalizationTracking SystemsIndoor Location PrivacyIndoor NavigationLocation Data AnalysisLocation Data PrivacyLocation TrackingLocation Tracking PrivacyMachine Learning For LocalizationWireless Localization
The paper presents a comprehensive survey of contemporary methods, technologies and systems for localization and tracking of moving objects in an indoor environment and gives their comparison according to various criteria, such as accuracy, privacy, scalability and type of location data. Some representative examples of indoor LBS applications available on the market are presented based on the reviewed localization technologies. Prominent research directions in this domain are categorized and discussed.