TY - JFULL AU - Omid Sojodishijani and Saeed Ebrahimijam and Vahid Rostami PY - 2007/3/ TI - Localization by DKF Multi Sensor Fusion in the Uncertain Environments for Mobile Robot T2 - International Journal of Mechanical and Mechatronics Engineering SP - 223 EP - 227 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/13563 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 2, 2007 N2 - 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. ER -