A Particle-Filter Based Self-Localization Method using Invariant Features as Visual Information
نویسندگان
چکیده
This article presents a new approach to robot localization in indoor environments. The system presents a Monte Carlo method using SIFT for the visual step. The scope of the system is indoor environments where no artificial landmarks are necessary. The complete pose < x, y, θ > can be obtained. Results obtained in the RobotVision@ImageCLEF competition proved the goodness of the algorithm.
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تاریخ انتشار 2009