2017
DOI: 10.14257/ijca.2017.10.6.07
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Mobile Robot Localization Using Optical Mouse Sensor and Encoder Based on Kalman Filter Algorithm

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Cited by 1 publication
(2 citation statements)
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“…Good performance of proposed method in terms of heading estimation is observable as well. Specifically, the heading RMSE value is far lower than the one of [13] whereas, the final heading errors of our method look very similar to the other works. To summarize, it can be stated that a final positioning percentage error of 0.21% on an average distance of 17.2 m is achieved.…”
Section: Discussion Of Resultssupporting
confidence: 82%
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“…Good performance of proposed method in terms of heading estimation is observable as well. Specifically, the heading RMSE value is far lower than the one of [13] whereas, the final heading errors of our method look very similar to the other works. To summarize, it can be stated that a final positioning percentage error of 0.21% on an average distance of 17.2 m is achieved.…”
Section: Discussion Of Resultssupporting
confidence: 82%
“…The fusion of data from these sensor units helps to reduce the height variation errors. In [13], three optical mouse sensors placed under the robot according to a triangular-geometry configuration, have been combined with an encoder sensor of driving wheels in a Kalman filter-based framework for providing the positioning information and limiting both systematic and non-systematic errors.…”
Section: Related Workmentioning
confidence: 99%