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Concrete Defects Inspection and 3D Mapping Using City Flyer Quadrotor Robot

Liang Yang Bing Li Wei Li Howard Brand Biao Jiang Jizhong Xiao

自动化学报（英文版）2020，Vol.7Issue(4)：991-1002,12.

自动化学报（英文版）2020，Vol.7Issue(4)：991-1002,12.DOI:10.1109/JAS.2020.1003234

Concrete Defects Inspection and 3D Mapping Using City Flyer Quadrotor Robot

Liang Yang ¹Bing Li ²Wei Li ³Howard Brand ²Biao Jiang ⁴Jizhong Xiao⁵

作者信息

1. University of Chinese Academy of Sciences, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110000, China
2. Clemson University, SC 29607 USA
3. Amazon AWS AI, Seattle, Washington 98170 USA
4. Hostos Community College, NY 10451 USA
5. CCNY Robotics Lab, Electrical EngineeringDepartment, City College of New York, NY 10031 USA
折叠

摘要

关键词

3D reconstruction/concrete inspection/deep neural network/quadrotor flying robot/visual-inertial fusion

Key words

3D reconstruction/concrete inspection/deep neural network/quadrotor flying robot/visual-inertial fusion

引用本文复制引用

Liang Yang,Bing Li,Wei Li,Howard Brand,Biao Jiang,Jizhong Xiao..Concrete Defects Inspection and 3D Mapping Using City Flyer Quadrotor Robot[J].自动化学报（英文版）,2020,7(4):991-1002,12.

基金项目

This work was supported in part by the U.S. National Science Foundation (IIP-1915721), and the U.S. Department of Transportation, Office of the Assistant Secretary for Research and Technology (USDOTOST-R)(69A3551747126) through INSPIRE University Transportation Center(http://inspire-utc.mst.edu) at Missouri University of Science and Technology. （IIP-1915721）

自动化学报（英文版）

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