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- Dean A. Pomerleau
- School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213 USA
抄録
<jats:p> The ALVINN (Autonomous Land Vehicle In a Neural Network) project addresses the problem of training artificial neural networks in real time to perform difficult perception tasks. ALVINN is a backpropagation network designed to drive the CMU Navlab, a modified Chevy van. This paper describes the training techniques that allow ALVINN to learn in under 5 minutes to autonomously control the Navlab by watching the reactions of a human driver. Using these techniques, ALVINN has been trained to drive in a variety of circumstances including single-lane paved and unpaved roads, and multilane lined and unlined roads, at speeds of up to 20 miles per hour. </jats:p>
収録刊行物
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- Neural Computation
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Neural Computation 3 (1), 88-97, 1991-02
MIT Press - Journals
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詳細情報
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- CRID
- 1360011143914564992
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- NII論文ID
- 30035678272
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- ISSN
- 1530888X
- 08997667
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- データソース種別
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- Crossref
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