PSO Algorithm Particle Filters for Improving the Performance of Lane Detection and Tracking Systems in Difficult Roads

@inproceedings{Cheng2012PSOAP,
  title={PSO Algorithm Particle Filters for Improving the Performance of Lane Detection and Tracking Systems in Difficult Roads},
  author={Wen-Chang Cheng},
  booktitle={Sensors},
  year={2012}
}
In this paper we propose a robust lane detection and tracking method by combining particle filters with the particle swarm optimization method. This method mainly uses the particle filters to detect and track the local optimum of the lane model in the input image and then seeks the global optimal solution of the lane model by a particle swarm optimization method. The particle filter can effectively complete lane detection and tracking in complicated or variable lane environments. However, the… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 26 references

An evolutionary computation approach for lane detection and tracking

  • C.-Y. Chen, C.-H. Chen, Z.-X. Dai
  • Advan. Sci. Lett. 2012,
  • 2012
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