Flying Robot Based Viewpoint Selection for the Electricity Transmission Equipment Inspection

In the process of inspection for the electricity transmission equipment using flying robots, an automatic way to find the best viewpoint to get the high quality of image would be beneficial to observe the state of the electricity transmission equipment. Finding the best viewpoint belongs to the viewpoint selection problem. A strategy is proposed in this paper to find the best viewpoint for the electricity transmission equipment inspection, according to which the candidate viewpoints can be generated based on the 3D model of the equipment. Then a scoring function is constructed which combines three factors including the amount of the information, the viewing quality, and the visibility of the information to evaluate the quality of the candidate viewpoint. Finally, the best viewpoint can be selected from all of candidate viewpoints according to the scoring function. The proposed algorithm is tested on the experiment to demonstrate its effectiveness.

[1]  F. Barthel,et al.  The Political Economy of Natural Disaster Damage , 2013 .

[2]  Zhengxing Sun,et al.  Best view selection of 3D models based on unsupervised feature learning and discrimination ability , 2013, VINCI '13.

[3]  Lei Wang,et al.  Mission planning of the flying robot for powerline inspection , 2009 .

[4]  Hamid Laga Semantics-Driven Approach for Automatic Selection of Best Views of 3D Shapes , 2010, 3DOR@Eurographics.

[5]  Z. Wang,et al.  The structure and dynamics of multilayer networks , 2014, Physics Reports.

[6]  Mark G. Stewart,et al.  Risk-based economic assessment of mitigation strategies for power distribution poles subjected to hurricanes , 2014 .

[7]  Kazuhiko Yokosawa,et al.  Three-quarter views are subjectively good because object orientation is uncertain , 2009, Psychonomic bulletin & review.

[8]  YangQuan Chen,et al.  Title : Aerial Surveillance System for Overhead Power Line Inspection , 2004 .

[9]  Gang Liu,et al.  Camera selection for unmanned helicopter power line inspection , 2012, IEEE PES Innovative Smart Grid Technologies.

[10]  Binhai Wang,et al.  Inspecting transmission lines with an unmanned fixed-wings aircraft , 2012 .

[11]  Horst Bischof,et al.  Photogrammetric Camera Network Design for Micro Aerial Vehicles , 2012 .

[12]  Ayellet Tal,et al.  Surface Regions of Interest for Viewpoint Selection , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Satoru Kawai,et al.  A simple method for computing general position in displaying three-dimensional objects , 1988, Comput. Vis. Graph. Image Process..

[14]  Jin-Hyuk Yang,et al.  Improved View Selection Algorithm in Data Warehouse , 2012, ICITCS.

[15]  Yuqing He,et al.  Rotor-flying manipulator: Modeling, analysis, and control , 2014 .

[16]  Luis Enrique Sucar,et al.  View planning for 3D object reconstruction , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[17]  Michela Spagnuolo,et al.  Semantics-driven best view of 3D shapes , 2009, Comput. Graph..

[18]  Bernardino Castillo-Toledo,et al.  Power line inspection via an unmanned aerial system based on the quadrotor helicopter , 2014, MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference.

[19]  Yang Guotia,et al.  Viewpoint Optimization Using Genetic Algorithm for Flying Robot Inspection of Electricity Transmission Tower Equipment , 2014 .

[20]  Gutemberg Borges França,et al.  A Fire-Risk-Breakdown System for Electrical Power Lines in the North of Brazil , 2014 .

[21]  Pere-Pau Vázquez,et al.  Automatic view selection through depth-based view stability analysis , 2009, The Visual Computer.

[22]  J. Katrasnik,et al.  A Survey of Mobile Robots for Distribution Power Line Inspection , 2010, IEEE Transactions on Power Delivery.

[23]  David W. Jacobs,et al.  Mesh saliency , 2005, SIGGRAPH 2005.

[24]  D. I. Jones,et al.  A laboratory test-bed for an automated power line inspection system , 2005 .

[25]  Dimitri Plemenos,et al.  Viewpoint Quality: Measures and Applications , 2005, CAe.