Q-factor map matching method using adaptive fuzzy network

@article{Kim1999QfactorMM,
  title={Q-factor map matching method using adaptive fuzzy network},
  author={Sinn Kim and Jong-Hwan Kim},
  journal={FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)},
  year={1999},
  volume={2},
  pages={628-633 vol.2}
}
Many hybrid algorithms which estimate car's position and velocity from GPS signals and INS signals suffer from the unknown GPS noise characteristics such as S/A noise. The unknown characteristics make it impossible to remove the noise completely. As a result, the estimated position information from the hybrid algorithms will be contaminated with undesirable position errors. It is very desirable and effective to use a digital road map to correct the position error, which is known as a map… CONTINUE READING

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