Student Work

Using Robots and SLAM for Indoor Wi-Fi Mapping in Indoor Geolocation

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In the past navigation was mainly done for vehicles using GPS but since there has been an increase interest in Wi-Fi Localization indoor environments. This kind of localization using RSS (Received Signal Strength) to calculate position. This kind of unobtrusive accessing can be done in places outside of one’s home and will guarantee that the localization can be done anywhere there is a signal even places where GPS cannot. In this project we want to compare the performance of a human collected database and a robot collected database for indoor localization systems with other commercially available systems (such as Wi-Fi Compass, Google Maps, etc.) and determining whether a human can be replaced with a robot for this kind of data collection.

  • 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-042513-140354
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  • 2013
Date created
  • 2013-04-25
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