2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Proceedings (Cat. No.01TH8556)
DOI: 10.1109/aim.2001.936925
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An outdoor navigation system using GPS and inertial platform

Abstract: The use of the Global Positioning System (GPS) in outdoor localization is a quite common solution in large environments where no other references are available and positioning requirements are not so pressing. Of course, fine motion without the use of an expensive differential device is not an easy task even now that available precision has been greatly improved as the military encoding has been removed. We present a localization algorithm based on Kalman filtering that tries to fuse information coming from an… Show more

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Cited by 33 publications
(38 citation statements)
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“…Note that a total of approximately 2400 data points were used to generate the average error. This actual position error is somewhat lower than, but consistent with estimated position errors reported in [13].…”
Section: Gps and Odometry Resultssupporting
confidence: 66%
See 1 more Smart Citation
“…Note that a total of approximately 2400 data points were used to generate the average error. This actual position error is somewhat lower than, but consistent with estimated position errors reported in [13].…”
Section: Gps and Odometry Resultssupporting
confidence: 66%
“…In [13], issues concerning the use of GPS for controlling and navigating an autonomous vehicle are addressed. In that work, several experiments were conducted to measure the accuracy of GPS and the availability of satellite fix for 3D GPS.…”
Section: A Gps Based Navigationmentioning
confidence: 99%
“…Stefano Panzieri, Federica Pascucci, and Giovanni Ulivi, had built up a limitation calculation in view of Kalman sifting that tries to utilize data originating from a modest single GPS with inertial information and guide based information. The calculation could deliver unsurprising arrangement for the robot that can effectively remark in a route framework [6].…”
Section: Literature Reviewmentioning
confidence: 99%
“…As previously mentioned, any relative localization algorithm is affected by a continuous growth in the integrated measurement error. This inconvenience can be reduced by periodically correcting the internal measures with the data provided by absolute sensors like sonar, laser, GPS, vision systems (Jarvis, 1992;Talluri & Aggarwal, 1992;Zhuang & Tranquilla, 1995;Mar & Leu, 1996;Arras et al, 2000;Yi et al, 2000;Panzieri et al, 2002). To this purpose, a localization algorithm based on a measure apparatus composed of a set of proprioceptive and exteroceptive sensors, is here proposed and evaluated.…”
Section: Introductionmentioning
confidence: 99%