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Synopsis
Indoor positioning and navigation in smart phones has become possible with the availability of good processors, sensors and connectivity in smart phone. The development of a system that utilizes these technologies for indoor positioning has been discussed. This system integrates wifi positioning, inertial sensors' data and buildings' map information for indoor navigation. Micro electromechanical systems (MEMS) based gyroscopes and accelerometers, have been used for providing pedestrian dead reckoning; and a Bayesian filter based on Monte Carlo simulation (particle filter) has been designed for integration of wifi positioning, pedestrian dead reckoning and buildings' map information for indoor navigation. This filter provides the state of the user estimated as a weighted mean of the approximated distribution obtained from particle filter. The positioning system has been built with XSENS MTW IMU, Acer ICONIA tablet running MATLAB. The developed system provides indoor positioning with mean square error within 1 meter, the error value of less than 2.5 m 95% of the time with the consistency of 96.86%.
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About the Author
Muhammad Irshan Khan: Studied SpaceMaster (Joint European Master in Space Science and Technology) program in Aalto University, Finland; Luleå University of Technology, Sweden and Julius-Maximilians-University Würzburg , Germany, major in Space Robotics and Automation. Research intern at Nokia, Location and Commerce Map Platform, Finland.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2013
- ISBN 10 3659347639
- ISBN 13 9783659347634
- BindingPaperback
- LanguageEnglish
- Number of pages108
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Design And Development of Indoor Positioning System
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659347639
ISBN 13: 9783659347634
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Seller: Hamelyn, Madrid, Spain
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Condition: Bueno. : Indoor positioning and navigation in smart phones has become possible with the availability of good processors, sensors and connectivity in smart phone. The development of a system that utilizes these technologies for indoor positioning has been discussed. This system integrates wifi positioning, inertial sensors' data and buildings' map information for indoor navigation. Micro electromechanical systems (MEMS) based gyroscopes and accelerometers, have been used for providing pedestrian dead reckoning; and a Bayesian filter based on Monte Carlo simulation (particle filter) has been designed for integration of wifi positioning, pedestrian dead reckoning and buildings' map information for indoor navigation. This filter provides the state of the user estimated as a weighted mean of the approximated distribution obtained from particle filter. The positioning system has been built with XSENS MTW IMU, Acer ICONIA tablet running MATLAB. The developed system provides indoor positioning with mean square error within 1 meter, the error value of less than 2.5 m 95% of the time with the consistency of 96.86%. EAN: 9783659347634 Tipo: Libros Título: Design And Development of Indoor Positioning System Autor: Muhammad Irshan Khan Editorial: LAP LAMBERT Academic Publishing Formato: Libro de bolsillo. Seller Inventory # Happ-2024-03-18-ef4bd10f
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Design and Development of Indoor Positioning System
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LAP LAMBERT Academic Publishing Feb 2013, 2013
ISBN 10: 3659347639
ISBN 13: 9783659347634
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Indoor positioning and navigation in smart phones has become possible with the availability of good processors, sensors and connectivity in smart phone. The development of a system that utilizes these technologies for indoor positioning has been discussed. This system integrates wifi positioning, inertial sensors' data and buildings' map information for indoor navigation. Micro electromechanical systems (MEMS) based gyroscopes and accelerometers, have been used for providing pedestrian dead reckoning; and a Bayesian filter based on Monte Carlo simulation (particle filter) has been designed for integration of wifi positioning, pedestrian dead reckoning and buildings' map information for indoor navigation. This filter provides the state of the user estimated as a weighted mean of the approximated distribution obtained from particle filter. The positioning system has been built with XSENS MTW IMU, Acer ICONIA tablet running MATLAB. The developed system provides indoor positioning with mean square error within 1 meter, the error value of less than 2.5 m 95% of the time with the consistency of 96.86%. 108 pp. Englisch. Seller Inventory # 9783659347634
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Design and Development of Indoor Positioning System : For Portable Devices
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659347639
ISBN 13: 9783659347634
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Indoor positioning and navigation in smart phones has become possible with the availability of good processors, sensors and connectivity in smart phone. The development of a system that utilizes these technologies for indoor positioning has been discussed. This system integrates wifi positioning, inertial sensors' data and buildings' map information for indoor navigation. Micro electromechanical systems (MEMS) based gyroscopes and accelerometers, have been used for providing pedestrian dead reckoning; and a Bayesian filter based on Monte Carlo simulation (particle filter) has been designed for integration of wifi positioning, pedestrian dead reckoning and buildings' map information for indoor navigation. This filter provides the state of the user estimated as a weighted mean of the approximated distribution obtained from particle filter. The positioning system has been built with XSENS MTW IMU, Acer ICONIA tablet running MATLAB. The developed system provides indoor positioning with mean square error within 1 meter, the error value of less than 2.5 m 95% of the time with the consistency of 96.86%. Seller Inventory # 9783659347634
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Design and Development of Indoor Positioning System
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ISBN 10: 3659347639
ISBN 13: 9783659347634
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Design and Development of Indoor Positioning System: For Portable Devices
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659347639
ISBN 13: 9783659347634
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