Real-Time 3D Crane Workspace Update Using a Hybrid Visualization Approach-Reference-Cited by-同舟云学术

Real-Time 3D Crane Workspace Update Using a Hybrid Visualization Approach

Published:2017-09 Issue:5 Volume:31 Page:04017049
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Chen Jingdao¹,Fang Yihai²,Cho Yong K.³

Affiliation:

1. Ph.D. Student, School of Electrical and Computer Engineering, Robotics Institute, Georgia Institute of Technology, 777 Atlanta Dr. N.W., Atlanta, GA 30332-0355.

2. Postdoctoral Associate, Rinker School of Construction Management, Univ. of Florida, Gainesville, FL 32611.

3. Associate Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlanta Dr. N.W., Atlanta, GA 30332-0355 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000698

Reference35 articles.

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3. Brown M. and Lowe D. (2002). “Invariant features from interest point groups.” British Machine Vision Conf. Univ. of Cardiff Cardiff U.K. 656–665.

4. Principal axes descriptor for automated construction-equipment classification from point clouds;Chen J.;J. Comput. Civ. Eng.,2016

5. Image-Based Safety Assessment: Automated Spatial Safety Risk Identification of Earthmoving and Surface Mining Activities

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