• Title: A Case Study Multi-Language Simulation Platform for Embedded Systems: Alternative Image Analysis Algorithms for Perspective Correction
  • Description: The purpose of this thesis is twofold; (i) to develop a simulation tool which uses different programming and modeling languages and (ii) to investigate al- ternative image analysis algorithms for perspective correction. The simulation tool developed shows that it is possible to combine different programming and modeling languages by using a middleware. Support for four languages has been achieved; Matlab, Modelica, C++ and C. The algorithm for perspective correction is based on RANSAC (RANdom SAmple Consensus). Decode of position coordinates has been accomplished with this method. The decode success rate is still 10% -25% lower than with current algorithms but ideas are presented how this could be enhanced. Estima- tions show that there is chance for improvement of time complexity compared to current methods.
  • Start Date: Nov. 1, 2009
  • Finished Date: Aug. 18, 2010
  • Supervisor: Karl Åström
  • Student: Joakim Baltsén, (E-05)
  • Report (127.4 KB)
  • Popular Science Report (2.0 MB)

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