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论文类型：期刊论文

发表时间：2014-07-01

发表刊物：IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

收录刊物：SCIE、EI

卷号：63

期号：7

页面范围：1874-1876

ISSN号：0018-9456

关键字：3-D laser scanner; data fusion; extrinsic calibration; monocular vision; RGB-D scene reconstruction

摘要：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.