Intelligent road recognition system for automous vehicle
An autonomous vehicle is a self-driving vehicle, that requires no operator to be involve in performing the set tasks. It is developed to assist humans in everyday tasks with the advantages of eliminating errors and reducing the need for human observation. For an autonomous vehicle to move with...
| 第一著者: | |
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| フォーマット: | Dissertation |
| 言語: | 英語 英語 英語 |
| 出版事項: |
2013
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| 主題: | |
| オンライン･アクセス: | http://eprints.uthm.edu.my/2132/ |
| Abstract | Abstract here |
| 要約: | An autonomous vehicle is a self-driving vehicle, that requires no operator to be
involve in performing the set tasks. It is developed to assist humans in everyday tasks
with the advantages of eliminating errors and reducing the need for human
observation. For an autonomous vehicle to move with flexibility or to adapt to a new
road environment, it needs to have human-like perception and intelligence. This
project proposes an intelligent visual perception system for an autonomous vehicle. It
consists of a camera vision system that captures the road image. The image features
are extracted using simple image processing algorithms and are trained using
artificial neural network (ANN). The trained system is able to recognize some
predetermined road patterns. Further experimental tests are designed to justify the
performance of the system settings. An optimized set of image quality and the ANN
network structures are chosen. |
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