Vertical Clearance Assessment for Highway Bridges Based on Multisensor Fusion Simultaneous Localization and Mapping

Author:

Xu Huitong1ORCID,Wang Meng2,Liu Cheng3,Li Faxiong3

Affiliation:

1. Ph.D. Candidate, School of Civil Engineering, Beijing Jiaotong Univ., Beijing 100044, China. ORCID: .

2. Professor, School of Civil Engineering, Beijing Jiaotong Univ., Beijing 100044, China (corresponding author).

3. Center for Information and Innovation, China-Road Transportation Verification & Inspection Hi-Tech Co., Ltd., Beijing 100044, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Building and Construction,Civil and Structural Engineering

Reference49 articles.

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2. Cai Y. W. Xu and F. Zhang. 2021. “ikd-Tree: An incremental K-D tree for robotic applications.” Preprint submitted February 22 2021. http://arxiv.org/abs/2102.10808.

3. Carrilho, A. C., M. Galo, and R. C. Dos Santos. 2018. “Statistical outlier detection method for airborne Lidar data.” In Vol. 42 of Proc., Int. Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 87–92. Karlsruhe, Germany: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-archives-XLII-1-87-2018.

4. A terrestrial LiDAR-based detection of shape deformation for maintenance of bridge structures;Cha G.;J. Constr. Eng. Manage.,2019

5. Object recognition, segmentation, and classification of mobile laser scanning point clouds: A state of the art review;Che E.;Sensors,2019

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