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http://arks.princeton.edu/ark:/88435/dsp013x816q05zFull metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Malik, Sharad | - |
| dc.contributor.advisor | Lee, Ruby | - |
| dc.contributor.author | Dewan, Rishika | - |
| dc.date.accessioned | 2016-06-22T15:50:07Z | - |
| dc.date.available | 2016-06-22T15:50:07Z | - |
| dc.date.created | 2016-05-02 | - |
| dc.date.issued | 2016-06-22 | - |
| dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp013x816q05z | - |
| dc.description.abstract | Barriers and interference collectively limit the accuracy of GPS indoors, and as a result, it cannot be used for indoor navigation. No widely-adopted solution currently exists to assist the visually impaired with indoor navigation. In this paper, I describe an indoor positioning system I built that uses an autonomously functioning robot and RFID/NFC technology to help guide a visually impaired user to points of interest in an indoor space. In addition to computing the optimal path from a source to a destination, the system also has an effective user-to-robot interface, robot-to-user interface, feedback control in the form of line-following, stationary and non-stationary obstacle detection, rectangular-shaped obstacle navigation, 360° rotational capability, and the capability of real-time re-routing. | en_US |
| dc.format.extent | 85 pages | * |
| dc.language.iso | en_US | en_US |
| dc.title | Guiding the Visually Impaired: An Indoor Positioning System using RFID/NFC Technology | en_US |
| dc.type | Princeton University Senior Theses | - |
| pu.date.classyear | 2016 | en_US |
| pu.department | Electrical Engineering | en_US |
| pu.pdf.coverpage | SeniorThesisCoverPage | - |
| Appears in Collections: | Electrical Engineering, 1932-2020 | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| Dewan_Rishika_senior_thesis.pdf | 1.41 MB | Adobe PDF | Request a copy |
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