Personal Position Measurement Using Dead Reckoning
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Location-based Services: Fundamentals and Operation
Location-based Services: Fundamentals and Operation
Pedestrian Tracking with Shoe-Mounted Inertial Sensors
IEEE Computer Graphics and Applications
Pervasive and Mobile Computing
Pedestrian localisation for indoor environments
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
RF-Based Initialisation for Inertial Pedestrian Tracking
Pervasive '09 Proceedings of the 7th International Conference on Pervasive Computing
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Localization with snap-inducing shaped residuals (SISR): coping with errors in measurement
Proceedings of the 15th annual international conference on Mobile computing and networking
Towards mobile phone localization without war-driving
INFOCOM'10 Proceedings of the 29th conference on Information communications
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
PowerLine positioning: a practical sub-room-level indoor location system for domestic use
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Indoor positioning using GPS revisited
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
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Positioning systems that do not depend on in-building infrastructures are critical for enabling a range of applications within pervasive computing. Particle filter-based inertial positioning promises infrastructure-less positioning, but previous research has not provided an understanding of how the positioning accuracy of such systems depends on the sensor errors and the building structure. This paper evaluates the impact of sensor errors and building structures on the positioning accuracy using a waist-mounted system named Pro-Position. We analyze results from deploying the system in regular and open spaced office buildings as well as in a shopping mall. The results show that differences in accuracy can be explained by error sources of the sensor and the constraints provided by building structures. Additionally, we present and evaluate methods for using GPS positioning with particle filter-based inertial positioning to improve accuracy in large open areas and to provide seamless handover when entering buildings.