%0 Journal Article
	%A Omid Sojodishijani and  Saeed Ebrahimijam and  Vahid Rostami
	%D 2007
	%J International Journal of Mechanical and Mechatronics Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 2, 2007
	%T  Localization by DKF Multi Sensor Fusion in the Uncertain Environments for Mobile Robot 
	%U https://publications.waset.org/pdf/13563
	%V 2
	%X This paper presents an optimized algorithm for robot localization which increases the correctness and accuracy of the estimating position of mobile robot to more than 150% of the past methods [1] in the uncertain and noisy environment. In this method the odometry and vision sensors are combined by an adapted well-known discrete kalman filter [2]. This technique also decreased the computation process of the algorithm by DKF simple implementation. The experimental trial of the algorithm is performed on the robocup middle size soccer robot; the system can be used in more general environments.

	%P 224 - 227