Detecting and Classifying Cranes Using Camera-Equipped UAVs for Monitoring Crane-Related Safety Hazards-Reference-Cited by-同舟云学术

Detecting and Classifying Cranes Using Camera-Equipped UAVs for Monitoring Crane-Related Safety Hazards

Published:2017-06-13 Issue: Volume: Page:
ISSN:
Container-title:Computing in Civil Engineering 2017
language:
Short-container-title:

Author:

Roberts Dominic¹²³,Bretl Timothy¹²³,Golparvar-Fard Mani¹²³

Affiliation:

1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Champaign, IL.

2. Associate Professor, Dept. of Aerospace Engineering and Electrical and Computing Engineering, Univ. of Illinois at Urbana-Champaign, Champaign, IL.

3. Associate Professor and Faculty Entrepreneurial Fellow, Dept. of Civil and Environmental Engineering and Computer Science, Univ. of Illinois at Urbana-Champaign, Champaign, IL.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784480847.055

Reference23 articles.

1. Cheng T. and Teizer J. (2011). "Real-time resource location data collection and visualization technology for construction safety and activity monitoring applications." Automation in Construction 34.

2. Modeling Tower Crane Operator Visibility to Minimize the Risk of Limited Situational Awareness;Cheng T.;Journal of Computing in Civil Engineering, American Society of Civil Engineers, 28.,2012

3. Degol J. Golparvar-Fard M. and Hoiem D. (2016). "Geometry-Informed Material Recognition." 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) IEEE IEEE IEEE IEEE 1554-1562.

4. The Pascal Visual Object Classes (VOC) Challenge;Everingham M.;International Journal of Computer Vision,2008

5. Girshick R. Donahue J. Darrell T. and Malik J. (2012). "Rich feature hierarchies for accurate object detection and semantic segmentation." Computer Vision and Pattern Recognition (CVPR) 2014 IEEE Conference on IEEE.

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic monitoring the risk coupling of foundation pits: integrated point cloud, computer vision and Bayesian networks approach;Engineering, Construction and Architectural Management;2024-07-31

2. Digital technologies for remote control and monitoring of construction works;Bulletin of Science and Research Center of Construction;2024-06-26

3. Unpaired image-to-image translation of structural damage;Advanced Engineering Informatics;2023-04

4. EEG-Based Performance-Driven Adaptive Automated Hazard Alerting System in Security Surveillance Support;Sustainability;2023-03-08

5. Vision and Trajectory–Based Dynamic Collision Prewarning Mechanism for Tower Cranes;Journal of Construction Engineering and Management;2022-07