YANG Guotian, DONG Ruifang, WU Hua, LIU Chang'an. Viewpoint Optimization Using Genetic Algorithm for Flying Robot Inspection of Electricity Transmission Tower Equipment[J]. Chinese Journal of Electronics, 2014, 23(2): 426-431.
Citation: YANG Guotian, DONG Ruifang, WU Hua, LIU Chang'an. Viewpoint Optimization Using Genetic Algorithm for Flying Robot Inspection of Electricity Transmission Tower Equipment[J]. Chinese Journal of Electronics, 2014, 23(2): 426-431.

Viewpoint Optimization Using Genetic Algorithm for Flying Robot Inspection of Electricity Transmission Tower Equipment

Funds:  This work is supported by the National Natural Science Foundation of China (No.61105083), Program for New Century Excellent Talents in University (No.NCET-11-0634), the Fundamental Research Funds for the Central Universities (No.11QG12, No.12ZX16), Beijing supports Joint Program for Central Universities in Beijing: "Research on the autonomous inspection method of robot for cable tunel".
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  • Corresponding author: WU Hua
  • Received Date: 2012-12-01
  • Rev Recd Date: 2013-01-01
  • Publish Date: 2014-04-05
  • To fully exploit the limited flight-time of the flying robot, and ensure the successful visibility of target, viewpoint optimization is proposed in this paper for the inspection of electricity transmission tower equipment with an optimization function to determine the best viewpoints in a local viewpoint region. The local viewpoint regions are generated from the local objective regions which are determined by the geometrical structure of a priori 3D model for the electricity transmission tower equipment. The optimization function is structured based on three factors including visibility, viewing quality and observation distance. In addition, the fitness function of genetic algorithm is used to find the optimal viewpoint. The experimental results demonstrate the effectiveness and efficiency of the proposed viewpoint selection algorithm.
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  • L. Ma and Y. Chen, "Aerial surveillance system for overhead power line inspection", Center for Self-Organizing and Intelligent Systems (CSOIS), Utah State Univ., Logan, Tech. Rep., USU-CSOIS-TR-04-08, 2003.
    C.A. Liu, L. Wang and C. Liu, "Mission planning of the flying robot for powerline inspection", Progress in Natural Science, Vol.19, No10, pp.1357-1363, 2009.
    J. Katrasnik, F. Pernus and B. Likar, "A survey of mobile robots for distribution power line inspection", IEEE Transactions on Power Delivery, Vol.25, No.1, pp.485-493, 2010.
    D. Jones, "Power line inspection-a UAV concept", The IEE Forum on Autonomous Systems, on Ref. No.2005/11271, London, England, pp.40-47, 2005.
    J.H. Meacham, "Imaging systems for RPV's", NAECON'75, Dayton, Ohio, New York, pp.576-582, 1975.
    C. Hoppe, A. Wendel, S. Zollmann, K. Pirker, A. Irschara, H. Bischof and S. Kluckner, "Photogrammetric camera network design for micro aerial vehicles", Proc. 17th Computer Vision Winter Workshop (CVWW), Mala Nedelja, Slovenija, pp.1-8, 2012.
    E. Trucco, M. Umasuthan, A.M. Wallace and V. Roberto, "Model-based planning of optimal sensor placements for inspection", IEEE Transactions on Robotics and Automation, Vol.13,No.2, pp.182-194, 1997.
    J.I. Vásquez-Gómez, E. López-Damian and L.E. Sucar, "View planning for 3D object reconstruction", IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009. St. Louis, MO, USA, pp.4015-4020, 2009.
    D. Jones and G. Earp, "Camera sightline pointing requirements for aerial inspection of overhead power lines", Electric Power Systems Research, Vol.57, No.2, pp.73-82, 2001.
    B.Wang, X. Chen, Q.Wang, L. Liu, H. Zhang and B. Li, "Power line inspection with a flying robot", International Conference on Applied Robotics for the Power Industry (CARPI), Montreal, Canada, pp.1-6, 2010.
    E. Dunn and J.M. Frahm, "Next best view planning for active model improvement", Proceedings of British Machine Vision Conference, London, UK, 2009. http://www.bmva.org/bmvc /2009/Papers/Paper436/Abstract436.pdf
    Y. Li and Z. Liu, "Uncertainty-driven viewpoint planning for 3D object measurements", IEEE International Conference on Robotics and Automation (ICRA), Taipei, Taiwan, pp.127-132, 2003.
    W.R. Scott, "Model-based view planning", Machine Vision and Applications, Vol.20, No.1, pp.47-69, 2009.
    A. Wendel, A. Irschara and H. Bischof, "Natural landmarkbased monocular localization for MAVs", 2011 IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, pp.5792-5799, 2011.
    A. Wendel, M. Maurer, A. Irschara and H. Bischof, "3D vision applications for MAVs: Localization and reconstruction", International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT), Hangzhou, China, 2011.
    K.A. Tarabanis, P.K. Allen and R.Y. Tsai, "A survey of sensor planning in computer vision", IEEE Transactions on Robotics and Automation, Vol.11, No.1, pp.86-104, 1995.
    S. Chen, Y. Li, J. Zhang and W. Wang, Active Sensor Planning for Multiview Vision Tasks, Springer-Verlag, Germany, 2008.
    C. Munkelt, A. Breitbarth, G. Notni and J. Denzler, "Multiview planning for simultaneous coverage and accuracy optimisation", Proceedings of the British Machine Vision Conference, Warwick, UK, pp.118.1-118.11, 2007.
    Y. Wu, N. Wang and Z. Wang, "A new improved genetic algorithm and its property analysis", Journal of Northwest Sci-Tech University of Agriculture and Forestry (Natural Science Edition), Vol.32, No.9, pp.124, 2004.
    Y. Rao and R. Wang, "Multi-path QoS routing using genetic algorithm for LEO satellite networks", Chinese Journal of Electronics, Vol.20, No.1, pp.17-20, 2011.
    X. Li and Z. Wang, "Cellular genetic algorithms for optimizing the area covering of wireless sensor networks", Chinese Journal of Electronics, Vol.20, No.2, pp.352-356, 2011.
    Abramson M, Genetic Algorithm and Direct Search Toolbox User's Guide For Use with MATLAB, The MathWorks, 2004.
    H.Z. Dai, W. Wang, P. Yuan and T.X. Zheng, "Dynamic behavior analysis of transmission line system", Journal of Harbin Institute of Technology, Vol.40, No.12, pp.1906-1909, 2008.
    C. Liu, J. Chang and C. Liu, "Path planning for mobile robot based on an improved probabilistic roadmap method", Chinese Journal of Electronics, Vol.18, No.3, pp.395-399, 2009.
    S. Piao, Q. Zhong and Y. Liu, "The research of optimal motion planning for robot in complex environment", Chinese Journal of Electronics, Vol.20, No.4, pp.638-640, 2011.
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