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Description
  • Precise and reliable estimation of orientation plays crucial role for any mobile robot operating in unknown environment. The most common solution to determination of the three orientation angles: pitch, roll, and yaw, relies on the Attitude and Heading Reference System (AHRS) that exploits inertial data fusion (accelerations and angular rates) with magnetic measurements. However, in real world applications strong vibration and disturbances in magnetic field usually cause this approach to provide poor results. Therefore, we have devised a new approach to orientation estimation using inertial sensors only. It is based on modified complementary filtering and was proved by precise laboratory testing using rotational tilt platform as well as by robot field-testing. In the final, the algorithm well outperformed the commercial AHRS solution based on magnetometer aiding.
  • Precise and reliable estimation of orientation plays crucial role for any mobile robot operating in unknown environment. The most common solution to determination of the three orientation angles: pitch, roll, and yaw, relies on the Attitude and Heading Reference System (AHRS) that exploits inertial data fusion (accelerations and angular rates) with magnetic measurements. However, in real world applications strong vibration and disturbances in magnetic field usually cause this approach to provide poor results. Therefore, we have devised a new approach to orientation estimation using inertial sensors only. It is based on modified complementary filtering and was proved by precise laboratory testing using rotational tilt platform as well as by robot field-testing. In the final, the algorithm well outperformed the commercial AHRS solution based on magnetometer aiding. (en)
Title
  • Complementary Filtering Approach to Orientation Estimation using Inertial Sensors Only
  • Complementary Filtering Approach to Orientation Estimation using Inertial Sensors Only (en)
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  • Complementary Filtering Approach to Orientation Estimation using Inertial Sensors Only
  • Complementary Filtering Approach to Orientation Estimation using Inertial Sensors Only (en)
skos:notation
  • RIV/68407700:21230/12:00200543!RIV13-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E10044)
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
  • 128153
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00200543
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Estimation; IIR filters; Low pass filters; Position measurement; Sensors, Vibrations (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [DC80CC1B8014]
http://linked.open...v/mistoKonaniAkce
  • St. Paul, Minnesota
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • ICRA2011: Proceedings of 2011 IEEE International Conference on Robotics and Automation
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
  • Reinštein, Michal
  • Kubelka, Vladimír
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000309406700089
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/ICRA.2012.6224564
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4673-1405-3
http://localhost/t...ganizacniJednotka
  • 21230
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