Finding Location Using a Particle Filter and Histogram Matching
نویسنده
چکیده
This paper considers the problem of mobile robot localization. The localization is done using a particle filter built on a highly accurate probabilistic model of laser scan and a histogram based representation of sensor readings. A histogram matching exploits sensor data coming from the laser and data obtained from the existing map. Experimental results indicate feasibility of the proposed approach for navigation.
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تاریخ انتشار 2004