Skip navigation
Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp013x816q05z
Full metadata record
DC FieldValueLanguage
dc.contributorMalik, Sharad-
dc.contributor.advisorLee, Ruby-
dc.contributor.authorDewan, Rishika-
dc.date.accessioned2016-06-22T15:50:07Z-
dc.date.available2016-06-22T15:50:07Z-
dc.date.created2016-05-02-
dc.date.issued2016-06-22-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp013x816q05z-
dc.description.abstractBarriers 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.extent85 pages*
dc.language.isoen_USen_US
dc.titleGuiding the Visually Impaired: An Indoor Positioning System using RFID/NFC Technologyen_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2016en_US
pu.departmentElectrical Engineeringen_US
pu.pdf.coverpageSeniorThesisCoverPage-
Appears in Collections:Electrical Engineering, 1932-2020

Files in This Item:
File SizeFormat 
Dewan_Rishika_senior_thesis.pdf1.41 MBAdobe PDF    Request a copy


Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.