RobustPathFinder: Handling Uncertainty in Indoor Positioning Techniques
| Autor: | José Cecílio, Pedro Martins, Pedro Furtado, Karen Duarte |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry Location media_common.quotation_subject 020208 electrical & electronic engineering SIGNAL (programming language) Context (language use) Beacons 02 engineering and technology Wireless Sensors Beacon Position (vector) Human–computer interaction Indoor Positioning Positioning Algorithms 0202 electrical engineering electronic engineering information engineering Global Positioning System RSSI General Earth and Planetary Sciences Robot 020201 artificial intelligence & image processing Quality (business) business General Environmental Science media_common |
| Zdroj: | ANT/SEIT |
| ISSN: | 1877-0509 |
| Popis: | Indoor navigation technologies rely on accurately determining the position of a moving person or robot to guide her actively through the building. This cannot be done using GPS because it is indoors. We have been dealing with this problem in the context of designing and building a system for helping blind people navigate in public buildings. However, indoor localization based on RSSI is not very accurate, since the quality of the signal is influenced by many factors that include, for instance, wall reflections or people passing by. The fact that the person is moving also introduces several degrees of uncertainty, including a changing number and placement of beacons in-range. The challenge is therefore to develop mechanisms to handle uncertainty. In this paper we propose and evaluate uncertainty-handling mechanisms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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