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Description
  • The work aims at a development of positioning algorithm suitable for low-cost indoor or urban pedestrian navigation application. The sensor fusion was applied to increase the localization accuracy. Due to required low application cost only low grade inertial sensors and wireless network based ranging were taken into account. The wireless network was assumed to be preinstalled due to other required functionality (for example: building control) therefore only received signal strength (RSS) range measurement technique was considered. Wireless channel loss mapping method was proposed to overcome the natural uncertainties and restrictions in the RSS range measurements. The available sensor and environment models are summarized first and the most appropriate ones are selected secondly. Their effective and novel application in the navigation task, and favorable fusion (Particle filtering) of all available information are the main objectives of this thesis.
  • The work aims at a development of positioning algorithm suitable for low-cost indoor or urban pedestrian navigation application. The sensor fusion was applied to increase the localization accuracy. Due to required low application cost only low grade inertial sensors and wireless network based ranging were taken into account. The wireless network was assumed to be preinstalled due to other required functionality (for example: building control) therefore only received signal strength (RSS) range measurement technique was considered. Wireless channel loss mapping method was proposed to overcome the natural uncertainties and restrictions in the RSS range measurements. The available sensor and environment models are summarized first and the most appropriate ones are selected secondly. Their effective and novel application in the navigation task, and favorable fusion (Particle filtering) of all available information are the main objectives of this thesis. (en)
Title
  • Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors
  • Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors (en)
skos:prefLabel
  • Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors
  • Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors (en)
skos:notation
  • RIV/00216305:26620/14:PU109511!RIV15-MSM-26620___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0068)
http://linked.open...iv/cisloPeriodika
  • 4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 36258
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26620/14:PU109511
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Personal Localization, Indoor and Urban Navigation, Wireless Networks, Inertial Sensors, Particle Filter (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • SK - Slovenská republika
http://linked.open...ontrolniKodProRIV
  • [B889273CF7E9]
http://linked.open...i/riv/nazevZdroje
  • Journal of Electrical Engineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 65
http://linked.open...iv/tvurceVysledku
  • Bradáč, Zdeněk
  • Fiedler, Petr
  • Kaňa, Zdeněk
issn
  • 1335-3632
number of pages
http://localhost/t...ganizacniJednotka
  • 26620
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