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HEDJAR Ramdane

Professor

Faculty member, Department of Computer Engineering

علوم الحاسب والمعلومات
Building 31, P.O.Box 51178, Riyadh 11543, KSA
publication
Conference Paper
2020
Published in:

Mobile Robot Localization Using Extended Kalman Filter

, • Eman A. and R. Hedjar, . 2020

Localizing the mobile robot in an indoor environment is one of the problems encountered repeatedly. Achieving the target precisely in any environment is not an easy task since there are noises and obstacles in the surrounding environment. Therefore, filtering the signals to reduce noises is essential for more accurate and precise motion. In this paper, we selected the extended Kalman filter, which is used for non-linear models' signals to predict the coordinates of a wheeled mobile robot. We tested the efficiency of this filter under three noise cases: no noise, Gaussian noise and non-Gaussian noise using MATLAB software.

Publication Work Type
Master
Conference Location
Riyadh, Saudi Arabia
Conference Name
3rd International Conference on Computer Applications & Information Security,
more of publication
publications

Localizing the mobile robot in an indoor environment is one of the problems encountered repeatedly. Achieving the target precisely in any environment is not an easy task since there are noises and…

by • Eman A. and R. Hedjar,
2020
publications

The quadrotor often flies in an environment where external disturbances can occur and decrease its tracking performances. Hence, the robustness and effectiveness of nonlinear controllers are…

by • Meradi Dounia, Benselama Zoubir, and Ramdane Hedjar
2020
publications

In recent years, unmanned surface vehicles have been widely used in various applications from military to civil domains. Seaports are crowded and ship accidents have increased.

by R Hedjar, M Bounkhel
2019