Part of the book series:The Kluwer International Series in Engineering and Computer Science ((SECS,volume 93))
205Accesses
Abstract
Autonomous navigation has been a difficult problem for traditional vision and robotic techniques, primarily because of the noise and variability associated with real world scenes. Autonomous navigation systems based on traditional image processing and pattern recognition techniques often perform well under certain conditions but have problems with others. Part of the difficulty stems from the fact that the processing performed by these systems remains fixed across various driving situations.
This is a preview of subscription content,log in via an institution to check access.
Access this chapter
Subscribe and save
- Get 10 units per month
- Download Article/Chapter or eBook
- 1 Unit = 1 Article or 1 Chapter
- Cancel anytime
Buy Now
- Chapter
- JPY 3498
- Price includes VAT (Japan)
- eBook
- JPY 22879
- Price includes VAT (Japan)
- Softcover Book
- JPY 28599
- Price includes VAT (Japan)
- Hardcover Book
- JPY 28599
- Price includes VAT (Japan)
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Dickmanns, E.D., Zapp, A. (1986) A curvature-based scheme for improving road vehicle guidance by computer vision. “Mobile Robots”,SPIE-Proc. Vol. 727, Cambridge, MA.
Dunlay, R.T., Seida, S. (1988) Parallel off-road perception processing on the ALV.Proc. SPIE Mobile Robot Conference, Cambridge MA.
Jackel, L.D., Graf, H.P., Hubbard, W., Denker, J.S., Henderson, D., Guyon, I. (1988) An application of neural net chips: Handwritten digit recognition.Proceedings of IEEE International Conlerence on Neural Networks, San Diego, CA.
Kuan, D., Phipps, G. and Hsueh, A.-C. Autonomous Robotic Vehicle Road Following.IEEE Trans. on Pattern Analysis and Machine Intelligence,Vol. 10, Sept. 1988.
Pawlicki, T.F., Lee, D.S., Hull, J.J., Srihari, S.N. (1988) Neural network models and their application to handwritten digit recognition.Proceedings of IEEE International Conference on Neural Networks, San Diego, CA.
Pomerleau, D.A. (1989) ALVINN: An Autonomous Land Vehicle In a Neural Network, InAdvances in Neural Information Processing Systems,Vol. 1, D.S. Touretzky (ed.), Morgan Kaufmann.
Pomerleau, D.A., Gusciora, G.L., Touretzky, D.S., and Kung, H.T. (1988) Neural network simulation at Warp speed: How we got 17 million connections per second.Proceedings of IEEE International Conference on Neural Networks, San Diego, CA.
Rumelhart, D.E., Hinton, G.E., and Williams, R.J. (1986) Learning internal representations by error propagation. In D.E. Rumelhart and J.L. McClelland (Eds.)Parallel Distributed Processing: Explorations in the Microstructures of Cognition. Vol. 1: Foundations. Cambridge, MA: Bradford Books/MIT Press.
Thorpe, C., Herbert, M., Kanade, T., Shafer S. and the members of the Strategic Computing Vision Lab (1987) Vision and navigation for the Carnegie Mellon Navlab.Annual Review of Computer Science Vol. II, Ed. Joseph Traub, Annual Reviews Inc., Palo Alto, CA.
Waibel, A., Hanazawa, T., Hinton, G., Shikano, K., Lang, K. (1988) Phoneme reeognition: Neural Networks vs. Hidden Markov Models.Proceedings from Int. Conf. on Acoustics, Speech and Signal Processing, New York, New York.
- Dean A. Pomerleau
You can also search for this author inPubMed Google Scholar
Editor information
Editors and Affiliations
Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA
Charles E. Thorpe
Rights and permissions
Copyright information
© 1990 Kluwer Academic Publishers
About this chapter
Cite this chapter
Pomerleau, D.A. (1990). Neural Network Based Autonomous Navigation. In: Thorpe, C.E. (eds) Vision and Navigation. The Kluwer International Series in Engineering and Computer Science, vol 93. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1533-9_5
Download citation
Publisher Name:Springer, Boston, MA
Print ISBN:978-1-4612-8822-0
Online ISBN:978-1-4613-1533-9
eBook Packages:Springer Book Archive
Share this chapter
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative