Laser-based vehicles tracking and classification using occlusion reasoning and confidence estimation

@article{Nashashibi2008LaserbasedVT,
  title={Laser-based vehicles tracking and classification using occlusion reasoning and confidence estimation},
  author={Fawzi Nashashibi and Alexandre Bargeton},
  journal={2008 IEEE Intelligent Vehicles Symposium},
  year={2008},
  pages={847-852}
}
In this paper, we present a robust approach for the detection, tracking and classification of multiple vehicles using a vehicle mounted laser scanner working independently in highways an urban centers. Our classification is based on different criteria: geometrical configuration, occlusion reasoning, sensor specifications and tracking information. The estimated confidence level is thus computed accounting the classification, the geometrical configuration and the tracking duration. Our system has… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 11 references

A splitandmerge segmentation algorithm for line extraction in 2 d range images ”

  • M. Aldon
  • Proc . of the 15 th Int . Conference on Pattern…
  • 2000

An Algorithm for Tracking Multiple Targets ”

  • D. B. Reid
  • IEEE Trans . On Automatic Control
  • 1999

Laser intensitybased obstacle detection ”

  • M. Hebert J. Hancock, C. Thorpe
  • Proc . of the IEEE Conference on Intelligent…
  • 1998

Stochastic mutlisensor data fusion for mobile robot location and environment modeling ”

  • R. Chatila
  • 1989

Characterization of a 2 - d laser scanner for mobile robot obstacle negotiation ”

  • J. Borenstein
  • Proc . of the IEEE International Conference on…