Terrain classification based on structure for autonomous navigation in complex environments

@article{Nguyen2010TerrainCB,
  title={Terrain classification based on structure for autonomous navigation in complex environments},
  author={Dien Van Nguyen and Lars Kuhnert and Jens Schlemper and Klaus-Dieter Kuhnert},
  journal={International Conference on Communications and Electronics 2010},
  year={2010},
  pages={163-168}
}
One of the main challenges for autonomous navigation in cluttered outdoor environments is to determine which obstacles can be driven over and which need to be avoided. Especially in off-road driving, the aim is not only to recognize the lethal obstacles on the vehicle's way at all costs, but also to predict the scene category thereby giving a better decision-making framework for vehicle navigation. This paper studies terrain classification based on structure relying on sparse 3-D data from… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 14 references

Combining distance and modulation information for detecting pedestrians in outdoor environment using a PMD camera

  • Duong V.Nguyen, Lars Kuhnert, Markus Ax, Klaus-Dieter Kuhnert
  • Proc. on the 11th IASTED International Conference…
  • 2010
1 Excerpt

Analysis of the PMD Imaging System

  • Matthias Plaue
  • Technical Report, Berlin,
  • 2006
1 Excerpt

A.,Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data, ICVPR

  • D. Anguelov, B. Taskar, +4 authors G. Ng
  • 2004
1 Excerpt

Neural Networks for Classification: A Survey

  • Guoqiang Peter Zhang
  • IEEE Trans. on Systems, Man, and Cybernetics,
  • 2000
1 Excerpt

Similar Papers

Loading similar papers…