ISBN: 9783659347634 - design and development of indoor positioning system: for portable devices (9 risultati)

Condizione: New. pp. 108.

Condizione: New.

Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condizione: Neu. Design and Development of Indoor Positioning System | For Portable Devices | Muhammad Irshan Khan | Taschenbuch | 108 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659347634 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: 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.…

Taschenbuch. Condizione: 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%.…

Condizione: New. Print on Demand pp. 108 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condizione: New. PRINT ON DEMAND pp. 108.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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%.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.…