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Description
  • The paper describes some design and implementation aspects of a low-cost inertial estimation unit based on comercially available inertial sensors (3-axis rate gyro combined in a single package with a 3-axis accelerometer and a 3-axis magnetometer). The data measured by the three sensors are fused using the Extended Kalman filtering paradigm. No model of the dynamics of the carrier (aircraft, mobile robot) is relied upon, the only modeled dynamics is that of sensors, such as the bias and noise. The choice of extended Kalman filtering methodology was dictated by strong requirements on computational simplicity. Some experience with implementation of the proposed scheme on a digital hardware (ARM7 based microcontroller) is shared in the paper. Finally, functionality of the presented device is demonstrated in experiments. Besides simple indoor tests, fly experiments were conducted using a small UAV helicopter.
  • The paper describes some design and implementation aspects of a low-cost inertial estimation unit based on comercially available inertial sensors (3-axis rate gyro combined in a single package with a 3-axis accelerometer and a 3-axis magnetometer). The data measured by the three sensors are fused using the Extended Kalman filtering paradigm. No model of the dynamics of the carrier (aircraft, mobile robot) is relied upon, the only modeled dynamics is that of sensors, such as the bias and noise. The choice of extended Kalman filtering methodology was dictated by strong requirements on computational simplicity. Some experience with implementation of the proposed scheme on a digital hardware (ARM7 based microcontroller) is shared in the paper. Finally, functionality of the presented device is demonstrated in experiments. Besides simple indoor tests, fly experiments were conducted using a small UAV helicopter. (en)
Title
  • Low-cost inertial estimation unit based on extended Kalman filtering
  • Low-cost inertial estimation unit based on extended Kalman filtering (en)
skos:prefLabel
  • Low-cost inertial estimation unit based on extended Kalman filtering
  • Low-cost inertial estimation unit based on extended Kalman filtering (en)
skos:notation
  • RIV/68407700:21230/10:00172588!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567), P(FR-TI1/265)
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
  • 268974
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/10:00172588
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • inertial estimation; inertial measurement unit; IMU; MEMS gyroscope; Coriolis angular rate sensor; accelerometer; extended Kalman filter (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [770637386EEF]
http://linked.open...v/mistoKonaniAkce
  • Orlando
http://linked.open...i/riv/mistoVydani
  • Bellingham (stát Washington)
http://linked.open...i/riv/nazevZdroje
  • Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI,
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...iv/tvurceVysledku
  • Hurák, Zdeněk
  • Řezáč, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0277-786X
number of pages
http://purl.org/ne...btex#hasPublisher
  • SPIE
https://schema.org/isbn
  • 978-0-8194-8160-3
http://localhost/t...ganizacniJednotka
  • 21230
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