Evolving GPS position correction function using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Lin:2012:SCIS,
  author =       "Jung Yi Lin and Chia Hui Chang and Ju Fu Peng and 
                 Ming Chih Tung and Chao Chung Liu",
  booktitle =    "Soft Computing and Intelligent Systems (SCIS) and 13th
                 International Symposium on Advanced Intelligent Systems
                 (ISIS), 2012 Joint 6th International Conference on",
  title =        "Evolving GPS position correction function using
                 genetic programming",
  year =         "2012",
  pages =        "136--140",
  keywords =     "genetic algorithms, genetic programming, Global
                 Positioning System (GPS), Position Correction,
                 evolutionary computation",
  DOI =          "doi:10.1109/SCIS-ISIS.2012.6505080",
  size =         "5 pages",
  abstract =     "Many mobile devices embeds Global positioning system
                 (GPS) to enable tour navigation or path programming.
                 Those low-cost consumer-grade GPS receivers usually do
                 not have high accuracy so that a position correction
                 algorithm is therefore necessary. This paper proposed a
                 correction technique using genetic programming. This
                 technique requires only two GPS receivers and a known
                 position. Using position information gathered by the
                 receivers we are capable of predicting the correct
                 position. The proposed technique can be implemented
                 without modifying hardware devices or settings. The
                 algorithm generates a correction function constructed
                 by features of NMEA (national Marine Electronics
                 Association) sentences, which is a standard format and
                 is common in most GPS receivers. Experiments are
                 conducted to demonstrate performance of the proposed
                 technique. Positioning error could be reduced
                 significantly.",
  notes =        "Also known as \cite{6505080}",
}

Genetic Programming entries for Mick Jung-Yi Lin Chia Hui Chang Ju Fu Peng Ming Chih Tung Chao Chung Liu

Citations