Dynamic calibration and compensation of a 3-D laser radar scanning system
- Perceptron, Inc., Farmington Hills, MI (United States)
- Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Mechanical Engineering
LIDAR (laser radar) is used to measure three-dimensional (3-D) object positions. It produces a range and an intensity image of the measured object and relies on the range image to determine the 3-D positions of the object. But, the range image is frequently corrupted with noise. A dynamic calibration method has been established to improve the LIDAR accuracy based on a polynomial calibration model and an autoregressive moving average (ARV) calibration model. Experimental results show that the measurements errors of the LIDAR system have been reduced from 163 counts to 18 counts after compensation using the polynomial calibration model and that the errors have been further reduced to 11 counts with the ARV model.
- OSTI ID:
- 5831357
- Journal Information:
- IEEE Transactions on Robotics and Automation (Institute of Electrical and Electronics Engineers); (United States), Vol. 9:3; ISSN 1042-296X
- Country of Publication:
- United States
- Language:
- English
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