Computing object-based saliency in urban scenes using laser sensing

@article{Zhao2012ComputingOS,
  title={Computing object-based saliency in urban scenes using laser sensing},
  author={Yipu Zhao and Mengwen He and Huijing Zhao and Franck Davoine and Hongbin Zha},
  journal={2012 IEEE International Conference on Robotics and Automation},
  year={2012},
  pages={4436-4443}
}
It becomes a well-known technology that a low-level map of complex environment containing 3D laser points can be generated using a robot with laser scanners. Given a cloud of 3D laser points of an urban scene, this paper proposes a method for locating the objects of interest, e.g. traffic signs or road lamps, by computing object-based saliency. Our major contributions are: 1) a method for extracting simple geometric features from laser data is developed, where both range images and 3D laser… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 27 references

Structure verification toward object classification using a range camera

  • S. Gächter, A. Harati, R. Siegwart
  • Intelligent autonomous systems 10: IAS-10, p. 356…
  • 2008
1 Excerpt

Similar Papers

Loading similar papers…