Abstract
LIDAR (laser radar) is used to measure 3-dimensional object positions. The range image is frequently corrupted with noise. A dynamic calibration method is developed to improve the LIDAR accuracy based on a polynomial calibration model and autoregressive moving average (ARMA) calibration model. Experimental results show that the measurement errors of the LIDAR system have been reduced from 163 counts (2.208 in) to 18 counts (0.244 in) after compensation using the polynomial calibration model, and that the errors have been further reduced to 11 counts (0.149 in) with the ARMA model.<>