Accurate mobile robot position determination using unscented Kalman filter

  title={Accurate mobile robot position determination using unscented Kalman filter},
  author={Nasser Houshangi and Farouk Azizi},
  journal={Canadian Conference on Electrical and Computer Engineering, 2005.},
The objective is to accurately determine mobile robots position and orientation by integrating information received from odometry and an inertial sensor. The position and orientation provided by odometry are subject to different types of errors. To improve the odometry, a fiber optic gyroscope is used to give the orientation information that is more reliable. The information from odometry and gyroscope are integrated using unscented Kalman filter (UKF). The position and orientation determined… CONTINUE READING
8 Citations
11 References
Similar Papers


Publications referenced by this paper.
Showing 1-10 of 11 references

Evaluation of a Solid – State Gyroscope for Mobile Robots Application

  • B. Barshan, H. F. Durrant-Whyte
  • IEEE Transactions on Instrumentation and…
  • 1994
Highly Influential
7 Excerpts

A New Method for Approximating Nonlinear Transformation of Probability Distributions

  • S. J. Julier, J. K. Uhlmann
  • Tech. Report,
  • 1996
2 Excerpts

Similar Papers

Loading similar papers…