@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},
	}