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Jen-Yu Han

Researcher at National Taiwan University

Publications -  67
Citations -  1067

Jen-Yu Han is an academic researcher from National Taiwan University. The author has contributed to research in topics: Transformation (function) & Reference frame. The author has an hindex of 13, co-authored 63 publications receiving 848 citations. Previous affiliations of Jen-Yu Han include Purdue University.

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A review of rotorcraft Unmanned Aerial Vehicle (UAV) developments and applications in civil engineering

TL;DR: An overview of the state of UAV developments and their possible applications in civil engineering is given and the latest developments in technologies related to UAVs are reviewed, such as control theories, navigation methods, and image processing.
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Deformation of the North American plate interior from a decade of continuous GPS measurements

TL;DR: In this paper, a combination of two independent geodetic solutions using data from close to 300 continuous GPS stations covering the central and eastern United States shows that surface deformation in the North American plate interior is best fit by a model that includes rigid rotation of North America with respect to ITRF2000 and a component of strain qualitatively consistent with that expected from glacial isostatic adjustment (GIA).
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Monitoring tunnel profile by means of multi-epoch dispersed 3-D LiDAR point clouds

TL;DR: It is proven that the LiDAR technique makes possible an efficient and accurate solution for monitoring tunnel profile deformations when the proposed approach is implemented in such a task.
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Monitoring tunnel deformations by means of multi-epoch dispersed 3D LiDAR point clouds: An improved approach

TL;DR: The results of simulation tests and a real case study of a highway tunnel showed that the spatial implications of the 3D LiDAR technique can be fully explored by implementing the improved approach, and a more accurate and comprehensive solution for monitoring tunnel deformations can be achieved.
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Automatic reconstruction of road surface features by using terrestrial mobile lidar

TL;DR: A fully automatic approach for reconstructing road surface features based on the terrestrial mobile mobile light detection and ranging (lidar) technique is proposed and indicated that the proposed road surface reconstruction method is feasible and that the classification indices, correctness and completeness were both higher than 90%.