Robust Sensor Registration Based on Bounded Variables Least Squares

Abstract:

The ill conditioning problem of sensor registration is considered. We analyze the ill conditioning in the dense-target scenario and the dense-sensor scenario, respectively, and present a robust registration method based on the bounded variables least squares (BVLS). The proposed approach can reduce the influence of ill conditioning by means of inserting prior constraints on the desired solution. Simulation results demonstrate the advantages of the proposed method.

• Periodical: Advanced Materials Research (Volume 898)
• Pages: 802-806
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.898.802
• Online since: February 2014
• Authors: Wei Tian*, Yue Wang, Xiu Ming Shan, Jian Yang
• Keywords: Bounded Variables Least Squares, Ill Conditioning, Multi-Sensor Data Fusion, Registration

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