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)
Proceedings of the 1st international conference on Mobile systems, applications and services
| Hi-index | 0.00 |
Location-aware smart spaces fuse information from a location system and a computational world model to make contextual inferences. To date, research has concentrated on the development of cheap, realisable, accurate location systems. Comparatively little research has addressed the issue of how to maintain the world model so crucial to contextual interferences. This paper details a framework to autonomously monitor a world model (the computer-readable representation of the world) for fine-grained location systems by regularly determining its consistency with the real world. It deals with the interpretation of information that can be derived from positioning systems and the construction of a general grid-based method for evaluating consistency between real and virtual worlds. Results to date are presented using location data from an extensive deployment of a location system, before future avenues of research are identified.