| URN |
etd-0809113-164708 |
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| Author |
Yun-shiou Tsai |
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| Author's Email Address |
No Public. |
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| Statistics |
This thesis had been viewed 5568 times. Download 627 times. |
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| Department |
Mechanical and Electro-Mechanical Engineering |
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| Year |
2012 |
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| Semester |
2 |
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| Degree |
Master |
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| Type of Document |
|
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| Language |
zh-TW.Big5 Chinese |
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| Title |
Real-time obstacle detection based on stereo vision |
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| Date of Defense |
2013-07-24 |
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| Page Count |
70 |
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| Keyword |
stereo vision
SGBM algorithm
obstacle detection
fuzzy theory
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| Abstract |
In recent years, the technology advances very fast. The research of advanced vehicle control and safety system (AVCSS) becomes more critical in the world. AVCSS includes sensor, computer, communication and control technologies applied on the vehicle for assisting driving safety. The core technology consists of a vehicle anti-collision system, automatic driving, and automatic parking. However, these technologies must have the image information in front of vehicle.
The machine vision can be divided into monocular vision and binocular stereo vision. The environmental information provided by monocular visual images may not be sufficient for the safety requirements upgrade. Besides, the binocular stereo vision can get more ambient information. By stereo vision algorithms, the system can calculate the depth image information to infer depth map information. The image matching algorithm is also important in stereo vision. Therefore, this thesis proposes an obstacle recognition system based on semi-gobal matching algorithm (SGBM) which used fuzzy theory to select a threshold to achieve better recognition results. |
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| Advisory Committee |
Yih-tunTseng - chair
Pei-Hsuan Tsai - co-chair
Jau-Wei Perng - advisor
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| Files |
Indicate in-campus at 5 year and off-campus access at 5 year. |
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| Date of Submission |
2013-09-09 |
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