Efficient calibration of infrared range finder PBS-03JN with scan-wise cubic hermite splines for indoor mobile robots

All sensors inevitably have various errors. These errors make output data from sensor to be inaccurate and mobile robot applications that use to be unstable. For this reason, there are many calibration methods to compensate the error. We propose a new calibration method for infrared range finder PBS-03JN. This method based on error characteristic of PBS-03JN and uses Cubic hermite as a calibration function. Cubic hermite is often used for data regression because it has continuity, smoothness and monotonicity. Our method makes output data from PBS-03JN to be more accurate efficiently. The performance of our calibration is shown by some data collection experiments and simulations.