Personal Position Measurement Using Dead Reckoning

C Randell; C Djiallis; HL Muller

Personal Position Measurement Using Dead Reckoning

C Randell
, C Djiallis
, HL Muller

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

138 Citations (Scopus)

Abstract

This paper compares position measurement techniques using dead reckoning. We are seeking to find a technique which is suitable for use by pedestrians, and have compared a number of sensors that can be used to achieve a robust and accurate dead reckoning system. All our techniques are step based. To measure steps we have compared the use of pedometers and accelerometers. To determine heading we have compared two and three dimensional compasses and a rate gyroscope. Finally we have performed four case studies based on real applications with standard deviation measured at 2.2m for a short test and 19.9m for an extended test. These errors can be reduced by using more computationally expensive filtering operations.

Translated title of the contribution	Personal Position Measurement Using Dead Reckoning
Original language	English
Title of host publication	Unknown
Editors	Chandra Narayanaswami
Publisher	IEEE Computer Society
Pages	166 - 173
Number of pages	7
Publication status	Published - Oct 2003

Bibliographical note

Conference Proceedings/Title of Journal: Proceedings of Seventh International Symposium on Wearable Computers

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title = "Personal Position Measurement Using Dead Reckoning",

abstract = "This paper compares position measurement techniques using dead reckoning. We are seeking to find a technique which is suitable for use by pedestrians, and have compared a number of sensors that can be used to achieve a robust and accurate dead reckoning system. All our techniques are step based. To measure steps we have compared the use of pedometers and accelerometers. To determine heading we have compared two and three dimensional compasses and a rate gyroscope. Finally we have performed four case studies based on real applications with standard deviation measured at 2.2m for a short test and 19.9m for an extended test. These errors can be reduced by using more computationally expensive filtering operations. ",

author = "C Randell and C Djiallis and HL Muller",

note = "Conference Proceedings/Title of Journal: Proceedings of Seventh International Symposium on Wearable Computers",

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pages = "166 -- 173",

editor = "Chandra Narayanaswami",

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AU - Djiallis, C

AU - Muller, HL

N1 - Conference Proceedings/Title of Journal: Proceedings of Seventh International Symposium on Wearable Computers

PY - 2003/10

Y1 - 2003/10

N2 - This paper compares position measurement techniques using dead reckoning. We are seeking to find a technique which is suitable for use by pedestrians, and have compared a number of sensors that can be used to achieve a robust and accurate dead reckoning system. All our techniques are step based. To measure steps we have compared the use of pedometers and accelerometers. To determine heading we have compared two and three dimensional compasses and a rate gyroscope. Finally we have performed four case studies based on real applications with standard deviation measured at 2.2m for a short test and 19.9m for an extended test. These errors can be reduced by using more computationally expensive filtering operations.

AB - This paper compares position measurement techniques using dead reckoning. We are seeking to find a technique which is suitable for use by pedestrians, and have compared a number of sensors that can be used to achieve a robust and accurate dead reckoning system. All our techniques are step based. To measure steps we have compared the use of pedometers and accelerometers. To determine heading we have compared two and three dimensional compasses and a rate gyroscope. Finally we have performed four case studies based on real applications with standard deviation measured at 2.2m for a short test and 19.9m for an extended test. These errors can be reduced by using more computationally expensive filtering operations.

M3 - Conference Contribution (Conference Proceeding)

SP - 166

EP - 173

BT - Unknown

A2 - Narayanaswami, Chandra

PB - IEEE Computer Society

ER -

Personal Position Measurement Using Dead Reckoning

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