Vehicle navigator using a mixture particle filter for inertial sensors/odometer/map data/GPS integration

@article{Georgy2012VehicleNU,
  title={Vehicle navigator using a mixture particle filter for inertial sensors/odometer/map data/GPS integration},
  author={Jacques Georgy and Aboelmagd Noureldin and Chris Goodall},
  journal={IEEE Transactions on Consumer Electronics},
  year={2012},
  volume={58}
}
The market for vehicular navigators boomed over the last few years. These navigators rely mainly on satellite based navigation systems such as the Global Positioning System (GPS) to assist drivers. Due to interruption or degradation in such systems in dense urban scenarios, they have to be augmented with other systems to achieve continuous and accurate vehicular navigation. GPS is integrated with low-cost micro-electro mechanical system (MEMS)-based inertial sensors. However, these sensors… CONTINUE READING
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References

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Aided Navigation: GPS with High Rate Sensors

  • J. A. Farrell
  • McGraw- Hill Professional,
  • 2008
Highly Influential
12 Excerpts

Hybrid extended particle filter (HEPF) for integrated inertial navigation and global positioning systems

  • P. Aggarwal, Z. Syed, N. El-Sheimy
  • Meas. Sci. and Technol., vol. 20, May 2009.
  • 2009
1 Excerpt

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