Triple GPS Localization Public

http://ir.library.oregonstate.edu/concern/honors_college_theses/bk128c910

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • The purpose of this thesis is to increase the positional accuracy of Global Position System (GPS) modules using an artificial intelligence algorithm. Three basic and identical GPS modules were setup in an equilateral triangle formation with side lengths of one meter. The triangle was placed in four separate locations where approximately 700 GPS data points were collected per GPS module. The data was then analyzed and tested using a Gaussian distribution. In the best-case scenario, the Triple GPS Localization algorithm was able to improve the localization accuracy by 82%. This shows that utilizing a machine-learning algorithm can improve the positional accuracy of any GPS module.
License
Resource Type
Date Available
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Non-Academic Affiliation
Rights Statement
Publisher
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Submitted by Emily Dray (emily.dray@oregonstate.edu) on 2012-06-15T17:43:32ZNo. of bitstreams: 1Thesis Triple GPS Localization.pdf: 2520481 bytes, checksum: bab470859b3e0c082c51e582327a645e (MD5)
  • description.provenance : Made available in DSpace on 2012-06-27T20:25:17Z (GMT). No. of bitstreams: 1Thesis Triple GPS Localization.pdf: 2520481 bytes, checksum: bab470859b3e0c082c51e582327a645e (MD5) Previous issue date: 2012-05-31
  • description.provenance : Approved for entry into archive by Digital Production(digitalproduc@gmail.com) on 2012-06-27T20:25:17Z (GMT) No. of bitstreams: 1Thesis Triple GPS Localization.pdf: 2520481 bytes, checksum: bab470859b3e0c082c51e582327a645e (MD5)

Relationships

Parents:

This work has no parents.

Last modified

Downloadable Content

Download PDF

Items