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Comparing global measures of image similarity for use in topological localization of mobile robots

Syeda Nusrat Ferdaus, Andrew Vardy, George K. I. Mann, Raymond G. Gosine

Year
2008
Citations
5

Abstract

In this paper, two global measures of image similarity are compared for use in topological localization of mobile robots. A catadioptric vision system was used as the sensor. Our localization system employs a discrete Bayes filter. Experimental results with real images of an office environment indicate the robot can localize itself from the memorized training images even with the modification of the environment.

Keywords

Artificial intelligenceSimilarity (geometry)Mobile robotComputer visionRobotComputer scienceImage (mathematics)Filter (signal processing)Topology (electrical circuits)Pattern recognition (psychology)

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