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Neural Network Based Autonomous Navigation

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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.

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References

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Authors
  1. Dean A. Pomerleau

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Editors and Affiliations

  1. Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA

    Charles E. Thorpe

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© 1990 Kluwer Academic Publishers

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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

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eBook
JPY 22879
Price includes VAT (Japan)
  • Available as PDF
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Softcover Book
JPY 28599
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
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Hardcover Book
JPY 28599
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Tax calculation will be finalised at checkout

Purchases are for personal use only


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