Publication | Closed Access
Ubiquitous Positioning Technologies for Modern Intelligent Navigation Systems
47
Citations
9
References
2005
Year
Location TrackingEngineeringLocation EstimationPositioning SystemWearable TechnologyPrecision NavigationLocalizationNavigation (Computer Networking)Social SciencesMappingNavigation (Cognitive Neuroscience)Global Positioning SystemLocation AwarenessPositioningCartographyInertial SensorsAssistive TechnologyUbiquitous Positioning TechnologiesVehicle LocalizationNew Location TechnologiesAugmented RealitySatellite Navigation SystemsExtended RealityGlobal Satellite Navigation SystemsIndoor Positioning SystemCase Studies
New location technologies have emerged that can augment GNSS and dead‑reckoning, providing varied positioning accuracies for advanced navigation systems. The study emphasizes the need to integrate these technologies, particularly in indoor and outdoor‑to‑indoor scenarios. It reviews ubiquitous positioning technologies and demonstrates their integration through two case studies—an Intelligent Vehicle Navigation system using map‑matching Kalman filtering for vehicle safety, and a pedestrian navigation service adapted from the same approach.
Recently new location technologies have emerged that can be employed in modern advanced navigation systems. They can be employed to augment Global Navigation Satellite System (GNSS) positioning techniques and dead reckoning as they offer different levels of positioning accuracies and performance. An integration of other technologies is especially required in indoor and outdoor-to-indoor environments. The paper gives an overview of the newly developed ubiquitous positioning technologies and their integration in navigation systems. Furthermore two case studies are presented, i.e., the improvement of land vehicle safety using Augmented Reality (AR) technologies and pedestrian navigation services for the guidance of users to certain University offices. In the first case study the integration of map matching into a Kalman filter approach is performed (referred to as “Intelligent Vehicle Navigation”) and its principle is briefly described. This approach can also be adapted for the pedestrian navigation service described in the second case study.
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