The active badge location system
ACM Transactions on Information Systems (TOIS)
Learning metric-topological maps for indoor mobile robot navigation
Artificial Intelligence
IEEE Internet Computing
Matrix: A Realtime Object Identification and Registration Method for Augmented Reality
APCHI '98 Proceedings of the Third Asian Pacific Computer and Human Interaction
Using Personnel Movements for Indoor Autonomous Environment Discovery
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Multi-Camera Multi-Person Tracking for EasyLiving
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Dynamic World Models from Ray-tracing
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Deploying and evaluating a location-aware system
Proceedings of the 3rd international conference on Mobile systems, applications, and services
Proceedings of the 1st international conference on Mobile systems, applications and services
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
User-Centric Similarity and Proximity Measures for Spatial Personalization
International Journal of Data Warehousing and Mining
Hi-index | 0.00 |
Location-aware systems are systems where location information is used as a rich source of context to enable computers to interact and react to their environment. To date, research involving such systems in the indoor environment has concentrated on the development of cheap, realisable, accurate location systems rather than the continued maintenance of the associated world model needed to derive context. This paper characterises the problems relating to world models that have been observed in a real deployment of a location-aware system. It develops a framework that separates the task of synchronising the real and virtual worlds into two—first monitoring to identify coarse regions of inconsistency, and the second accurate updating of these regions. The paper details methods by which the monitoring can be achieved without the cost of deploying specialised sensors, but rather through collating and analysing human movement patterns and raw location data. It presents an overview of the framework for monitoring, an in-depth case study with experimental results from a deployed system, and a discussion of how accurate updates could be achieved once inconsistent regions are identified.