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Automatic extrinsic self-calibration for fusing data from monocular vision and 3-D laser scanner

Zhuang, Y and Yan, F and Hu, H (2014) 'Automatic extrinsic self-calibration for fusing data from monocular vision and 3-D laser scanner.' IEEE Transactions on Instrumentation and Measurement, 63 (7). 1874 - 1876. ISSN 0018-9456

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Abstract

In this paper, an extrinsic self-calibration approach is proposed for solving the problem of real-time data fusion between monocular vision and 3-D laser scanner. A novel calibration board is designed for data fusion so that the extrinsic parameters can be obtained automatically by matching the corner features extracted from both vision and laser data. Experimental results obtained from both indoor and outdoor RGB-D scene reconstruction demonstrate the validity and good performance of the proposed approach. © 1963-2012 IEEE.

Item Type: Article
Subjects: Q Science > QC Physics
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 06 Jul 2015 14:10
Last Modified: 23 Jan 2019 00:18
URI: http://repository.essex.ac.uk/id/eprint/14238

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