Dynamic displacement estimation by fusing LDV and LiDAR measurements via smoothing based Kalman filtering
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- 作者：Kiyoung Kim ; Hoon Sohn ; hoonsohn@kaist.ac.kr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Dynamic displacement ; LDV ; LiDAR ; Kalman filter ; Data fusion ; Smoothing
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：1 January 2017
- 年：2017
- 卷：82
- 期：Complete
- 页码：339-355
- 全文大小：1345 K
文摘
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We developed a new displacement estimation technique using LDV and LiDAR.
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The proposed technique utilizes two fully noncontact sensors, contrary to previous studies.
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2485">The technique adopts real-time smoothings for high accuracy and sampling rate.
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The performance of the technique is verified from a series of lab-scale tests.
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