@article{(Open Science Index):https://publications.waset.org/pdf/13563, title = { Localization by DKF Multi Sensor Fusion in the Uncertain Environments for Mobile Robot }, author = {Omid Sojodishijani and Saeed Ebrahimijam and Vahid Rostami}, country = {}, institution = {}, abstract = {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. }, journal = {International Journal of Mechanical and Mechatronics Engineering}, volume = {1}, number = {2}, year = {2007}, pages = {224 - 227}, ee = {https://publications.waset.org/pdf/13563}, url = {https://publications.waset.org/vol/2}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 2, 2007}, }