Using Multi-Signal Sources for UGV Obstacle Avoidance
碩士 === 國防大學中正理工學院 === 兵器系統工程研究所 === 95 === Development of motion control of Unmanned Ground Vehicle (UGV) by using CCD camera has been vastly studied. It is down by using road feature abstraction analysis. However, the correctness is most subjected to the variations of shadows, reflections, etc. To...
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2007
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Online Access: | http://ndltd.ncl.edu.tw/handle/29286243598665335755 |
Summary: | 碩士 === 國防大學中正理工學院 === 兵器系統工程研究所 === 95 === Development of motion control of Unmanned Ground Vehicle (UGV) by using CCD camera has been vastly studied. It is down by using road feature abstraction analysis. However, the correctness is most subjected to the variations of shadows, reflections, etc. To improve the correctness, in this research, a laser range finder is added to improve the judgment. The range information is processed by Kalman filter to give multiple signal resources as associated with image analysis. It shows the above method can be successfully adopted of UGV road following and obstacle avoidance control.
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