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User-Friendly Surveying Techniques for Location-aware Systems.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

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User-Friendly Surveying Techniques for Location-aware Systems. / Scott, James; Hazas, Michael.
UbiComp 2003: Ubiquitous Computing. Vol. 2864/2 Heidelberg: Springer Berlin, 2003. p. 44-53 (Lecture Notes in Computer Science).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Harvard

Scott, J & Hazas, M 2003, User-Friendly Surveying Techniques for Location-aware Systems. in UbiComp 2003: Ubiquitous Computing. vol. 2864/2, Lecture Notes in Computer Science, Springer Berlin, Heidelberg, pp. 44-53. https://doi.org/10.1007/b93949

APA

Scott, J., & Hazas, M. (2003). User-Friendly Surveying Techniques for Location-aware Systems. In UbiComp 2003: Ubiquitous Computing (Vol. 2864/2, pp. 44-53). (Lecture Notes in Computer Science). Springer Berlin. https://doi.org/10.1007/b93949

Vancouver

Scott J, Hazas M. User-Friendly Surveying Techniques for Location-aware Systems. In UbiComp 2003: Ubiquitous Computing. Vol. 2864/2. Heidelberg: Springer Berlin. 2003. p. 44-53. (Lecture Notes in Computer Science). doi: 10.1007/b93949

Author

Scott, James; ; Hazas, Michael. / User-Friendly Surveying Techniques for Location-aware Systems. UbiComp 2003: Ubiquitous Computing. Vol. 2864/2 Heidelberg : Springer Berlin, 2003. pp. 44-53 (Lecture Notes in Computer Science).

Bibtex

@inbook{c3297f6d99ba44e09164ef271b1d6356,
title = "User-Friendly Surveying Techniques for Location-aware Systems.",
abstract = "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.",
author = "James; Scott and Michael Hazas",
note = "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",
year = "2003",
month = oct,
doi = "10.1007/b93949",
language = "English",
isbn = "978-3-540-20301-8",
volume = "2864/2",
series = "Lecture Notes in Computer Science",
publisher = "Springer Berlin",
pages = "44--53",
booktitle = "UbiComp 2003: Ubiquitous Computing",

}

RIS

TY - CHAP

T1 - User-Friendly Surveying Techniques for Location-aware Systems.

AU - Scott, James;

AU - Hazas, Michael

N1 - 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

PY - 2003/10

Y1 - 2003/10

N2 - 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.

AB - 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.

U2 - 10.1007/b93949

DO - 10.1007/b93949

M3 - Chapter

SN - 978-3-540-20301-8

VL - 2864/2

T3 - Lecture Notes in Computer Science

SP - 44

EP - 53

BT - UbiComp 2003: Ubiquitous Computing

PB - Springer Berlin

CY - Heidelberg

ER -