Scott, James; and Hazas, Michael (2003) User-Friendly Surveying Techniques for Location-aware Systems. In: UbiComp 2003: Ubiquitous Computing. Lecture Notes in Computer Science, 2864/2 . Springer Berlin, Heidelberg, pp. 44-53. ISBN 978-3-540-20301-8Full text not available from this repository.
Many location-aware applications rely on data from fine-grained location systems. During deployment such systems require a survey, specifying the locations of their environment-based components. Most current surveying methods are time-consuming, and require costly and bulky equipment. This paper presents the concept of self-surveying, i.e. methods by which a location system can survey itself. Such methods are user-friendly, fast, and require little or no extra equipment. Experimental results show self-survey accuracies comparable to the accuracy of the underlying location system.
|Item Type:||Contribution in Book/Report/Proceedings|
|Additional Information:||A close collaboration with Intel Research Cambridge, this is a study of methods for auto-calibration in fine-grained location systems. Such systems require accurate, labour-intensive surveys of fixed infrastructure, a prohibitive barrier to their deployment. Using the renowned ""Bat"" location system at Cambridge, exhaustive experiments were performed in five rooms, characterising three auto-calibration methods. Survey accuracy (ranging 3-25 cm) was shown to be directly related to the obtrusiveness/sophistication of the data-gathering. This is one of the leading papers on auto-calibration for ubiquitous localisation. It has resulted in ongoing Lancaster PhD work, jointly funded by Intel Research. (acceptance rate = 17.6%) RAE_import_type : Conference contribution RAE_uoa_type : Computer Science and Informatics|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||02 Jul 2008 14:34|
|Last Modified:||24 Apr 2017 02:07|
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