Student Work

Using Robots and SLAM for Indoor Wi-Fi Mapping in Indoor Geolocation [Revised and Extended Version]

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Wi-Fi localization for indoor environments has been a successful field for research and development due to its increasing demand. Many companies like Google, Meridian, and Nokia collect Wi-Fi related databases for indoor environments which is used in millions of applications. For indoor environments that data is collected manually by war walking which is an extremely hectic and arduous progression. In this project we aimed to automate this process of collecting Wi-Fi related databases in indoor environments by introducing robots to perform the task. We also conducted a comprehensive performance evaluation of the collected databases inorder to determine whether a human can be substituted 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-101313-220525
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  • 2013
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  • 2013-10-13
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Permanent link to this page: https://digital.wpi.edu/show/7h149r07z