Advertisement

A Test of Position Determination with PSO

  • Walter W. Chen
  • Jian-An Wang
  • Zhe-Ping Shen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7928)

Abstract

PSO has been used in combination with ultra-high resolution 360-degree panoramic images in positioning field objects at a landslide site. Although the computational efficiency was exceptional, the sum of errors was high. In order to demonstrate that the errors came from GPS readings instead of photography mistakes or erroneous computer codes, the authors designed and implemented an experiment and used it to verify the applicability of the PSO method. A conceptual layout was first sketched on paper and then tested on a rooftop of a campus building. Two sets of input data were constructed using the panoramic photos and the CAD drawing of the conceptual layout, respectively. Both data sets were computed using the brute force program and the PSO program developed in previous studies. The results showed that cm-level and sub-mm level accuracy was achieved in the experiment. Consequently, it was concluded that the PSO program was correct and the PSO method was applicable to the positioning problem. The accuracy of positioning in the field can be improved with the aid of better GPS devices.

Keywords

Surveying poles PSO brute force method 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Chen, W.W., Chen, P.: Reconstructing Tree Trunks from Point Clouds using PSO. In: Proc. 2010 International Conference on Intelligent Computation Technology and Automation, pp. 996–999. IEEE Computer Society (2010)Google Scholar
  2. 2.
    Chen, W.W., Chen, P.: PSOslope: a Stand-alone Windows Application for Graphical Analysis of Slope Stability. In: Tan, Y., Shi, Y., Chai, Y., Wang, G. (eds.) ICSI 2011, Part I. LNCS, vol. 6728, pp. 56–63. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  3. 3.
    Wen, J.-C., Chen, W.W.: Finding Most Likely Sliding Surfaces using PSO. In: Proc. 2011 Conference on Technologies and Applications of Artificial Intelligence, pp. 309–312. Conference Publishing Services (2011)Google Scholar
  4. 4.
    Chen, W.W., Shen, Z.-P., Wang, J.-A., Tsai, F.: Scripting STABL with PSO for Analysis of Slope Stability. Accepted for Publication in NeurocomputingGoogle Scholar
  5. 5.
    Chen, W.W., Shen, Z.-P., Chen, H.-C., Wang, J.-A.: Position Measurement Assisted by PSO and 360-degree Images. In: Proc. the 33rd Asian Conference on Remote Sensing, PS1 2012. Asian Association on Remote Sensing (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Walter W. Chen
    • 1
  • Jian-An Wang
    • 1
  • Zhe-Ping Shen
    • 1
  1. 1.Dept. of Civil EngineeringNational Taipei University of TechnologyTaipeiTaiwan

Personalised recommendations