A Study on the Correction of Non-Linear Bias Error of an Infrared Range Finder Sensor for a Mobile Robot using Neural Network
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چکیده
The infrared range finder for a mobile robot has the advantages of the low sensing cost and detecting all objects in front of the mobile robot after sensing. However, it has some non-linear bias errors, the measurement data represents the Gaussian distribution, and the variance of measurement error increases in proportion to distance. This paper set a goal to analyze the characteristics of an infrared range finder and to correct the non-linear bias errors. The corrected infrared range finder can be utilized as an effective alternative to other sensors in indoor environment.
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تاریخ انتشار 2005