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

[1]  Mani Golparvar-Fard,et al.  Potential of big visual data and building information modeling for construction performance analytics: An exploratory study , 2017 .

[2]  Derek Hoiem,et al.  Geometry-Informed Material Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[3]  Mani Golparvar-Fard,et al.  Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works , 2016 .

[4]  Ali Farhadi,et al.  You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[5]  Kaiming He,et al.  Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Patricio A. Vela,et al.  Construction performance monitoring via still images, time-lapse photos, and video streams: Now, tomorrow, and the future , 2015, Adv. Eng. Informatics.

[7]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[8]  Chao Wang,et al.  Smart scanning and near real-time 3D surface modeling of dynamic construction equipment from a point cloud , 2015 .

[9]  Trevor Darrell,et al.  Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[10]  Zhongke Shi,et al.  Vision-Based Tower Crane Tracking for Understanding Construction Activity , 2014, J. Comput. Civ. Eng..

[11]  Jochen Teizer,et al.  Computing 3D blind spots of construction equipment: Implementation and evaluation of an automated measurement and visualization method utilizing range point cloud data , 2013 .

[12]  Tao Cheng,et al.  Real-time resource location data collection and visualization technology for construction safety and activity monitoring applications , 2013 .

[13]  Eric Marks,et al.  Method for testing proximity detection and alert technology for safe construction equipment operation , 2013 .

[14]  Eric Marks,et al.  Laser Scanning for Safe Equipment Design That Increases Operator Visibility by Measuring Blind Spots , 2013 .

[15]  Jochen Teizer,et al.  Automatic spatio-temporal analysis of construction site equipment operations using GPS data , 2013 .

[16]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[17]  Fernanda Leite,et al.  Requirements for autonomous crane safety monitoring , 2011 .

[18]  Luc Van Gool,et al.  The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.

[19]  Burcu Akinci,et al.  Automated generation of workspace requirements of mobile crane operations to support conflict detection , 2007 .

[20]  Michael McCann Heavy equipment and truck-related deaths on excavation work sites. , 2006, Journal of safety research.