Simulation of Registration Accuracy of Iterative Closest Point (ICP) Method for Pose Estimation

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Abstract:

ICP method is a powerful tool widely used in 3D point registration and pose estimation application. But there lacks an deterministic relation between the 3D point dataset and the model. Here we present some Monte Carlo simulation results for pose estimation error of one degree and the system requirement for lidar 3D point measurement techniques.

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401-404

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December 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] R. C. Fenton, R. R. Fullmer, R. T. Pack, and A. Imaging, Design of lidar-based sensors and algorithms for determining the relative motion of an impaired spacecraft, Proc. of SPIE vol. 5778, p.809–818(2005).

DOI: 10.1117/12.602753

Google Scholar

[2] S. E. Budge and N. Badamikar, Automatic Registration of Multiple Texel Images ( fused Lidar / Digital Imagery ) for 3D Image Creation, Proc. of SPIE Vol. 8731, 873107(2013).

DOI: 10.1117/12.2016199

Google Scholar

[3] R. C. Fenton, R. R. Fullmer, R. T. Pack, and A. Imaging, Simulation Tests of a Lidar-based Spacecraft Pose Determination Algorithm, Proc. of SPIE Vol. 6555, 65550G (2007).

DOI: 10.1117/12.720114

Google Scholar

[4] S. Bellisai, D. Bronzi, F. A. Villa, S. Tisa, A. Tosi, and F. Zappa, Optics Express vol. 21, no. 4: 390–397(2013).

DOI: 10.1364/oe.21.005086

Google Scholar