Autonomous Vehicle Obstacle Avoiding and Goal Position Reaching by Behavioral Cloning

@article{Kulic2006AutonomousVO,
  title={Autonomous Vehicle Obstacle Avoiding and Goal Position Reaching by Behavioral Cloning},
  author={Ranka Kulic and Zoran Vukic},
  journal={IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics},
  year={2006},
  pages={3939-3944}
}
The problem of dynamic path generation for the autonomous vehicle in environments with unmoving obstacles is presented. Generally, the problem is known in the literature as the vehicle motion planning. In this paper the behavioural cloning approach is applied to design the vehicle controller. In behavioural cloning, the system learns from control traces of a human operator. To learn from control traces the machine learning algorithm and neural network algorithms are used. The goal is to find… CONTINUE READING
2 Extracted Citations
23 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 23 references

Autonomous underwater vehicle motion planning by behavioral cloning and Kohonen modified rule

  • R. Kulić, Z. Vukić
  • Submitted to IEEE SMC,
  • 2006
1 Excerpt

Behavioral Cloning in the Autonomous Underwater Vehicle Path Generation

  • R. Kulić, Z. Vukić
  • EDPE2005 Conference, Dubrovnik
  • 2005
1 Excerpt

Autonomous Vehicle Motion Planning by Behavioral Cloning

  • R. Kulić, Z. Vukić
  • Southeastern Europe, USA, Japan and European…
  • 2004
2 Excerpts

Vuki ć , » Autonomous Vehicle Motion Planning by Behavioral Cloning « , Southeastern Europe , USA , Japan and

  • Z. R. Kuli ć
  • European Community Workshop on Research and…
  • 2004

Behavioural cloning in obstacle avoiding«, The 7 International Symposium SAUM, Vrnjačka Banja, Yugoslavia

  • R. Kulić
  • 2001
1 Excerpt

Transfer of skill in obstacle avoiding domain«, The 2 IFAC-CIGR Symposium, Bali, Indonesia

  • R. Kulić
  • 2001
1 Excerpt

Similar Papers

Loading similar papers…