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Nontarget-based displacement measurement using LiDAR and camera
Abstract The nontarget-based displacement measurement approaches that use structural features have been developed for the wider adoption of computer vision-based methods in real-world applications. However, nontarget-based approaches still require the target or known structural metric information to obtain the displacement. This study proposes a nontarget-based displacement measurement method using LiDAR combined with a camera. The displacement calculation from the acquired image and point cloud information was presented based on coordinate transforms from the image to the world coordinate system. The proposed method was also designed to compensate measurement errors caused by out-of-plane motion. The proposed method was validated in two laboratory experiments and field testing using a full-scale railway bridge.
Highlights Nontarget-based displacement measurement method that does not require the use of artificial target is developed. An effective approach to determine the relationship between image and physical domains using 3D point cloud is proposed. A strategy to compensate measurement errors caused by out-of-plane motion is presented. Performance of the proposed method is validated on a full-scale railway bridge.
Nontarget-based displacement measurement using LiDAR and camera
Abstract The nontarget-based displacement measurement approaches that use structural features have been developed for the wider adoption of computer vision-based methods in real-world applications. However, nontarget-based approaches still require the target or known structural metric information to obtain the displacement. This study proposes a nontarget-based displacement measurement method using LiDAR combined with a camera. The displacement calculation from the acquired image and point cloud information was presented based on coordinate transforms from the image to the world coordinate system. The proposed method was also designed to compensate measurement errors caused by out-of-plane motion. The proposed method was validated in two laboratory experiments and field testing using a full-scale railway bridge.
Highlights Nontarget-based displacement measurement method that does not require the use of artificial target is developed. An effective approach to determine the relationship between image and physical domains using 3D point cloud is proposed. A strategy to compensate measurement errors caused by out-of-plane motion is presented. Performance of the proposed method is validated on a full-scale railway bridge.
Nontarget-based displacement measurement using LiDAR and camera
Lee, Sahyeon (Autor:in) / Kim, Hyunjun (Autor:in) / Sim, Sung-Han (Autor:in)
15.07.2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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