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Hybrid Indoor Geolocation for Robotic Applications

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The purpose of our major qualifying project is to develop a localization method for precise indoor geolocation. There are two phases in our project. The first involves devising an algorithm to combine the readings from various sensors. The second part is developing the user interface. By combining the readings from these sensors using the Extended Kalman Filter, 90th percentile of error is below approximately 2.7 meters. In conclusion, the location estimation of the inertial sensor is accurate in the short term, but is subject to drift. Wi-Fi localization is accurate in the long term, but is more subject to instantaneous variation. However, by sensor fusion of the inertial system and Wi-Fi localization, the advantages of each can be exploited to achieve optimal results.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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  • E-project-042710-144538
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  • 2010
Date created
  • 2010-04-27
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