Research on Automatic Unmanned Vehicle Guided by Mechanical Vision

碩士 === 義守大學 === 電機工程學系碩士班 === 94 === With the advance in the modern technology, the unmanned vehicles and the artificial intelligent are more significant in many aspects. In the past, the sensors are necessary for the communication between the environment and the computer. Hence, the precision of th...

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Main Authors: Kun‐Ze Wu, 吳昆澤
Other Authors: Chin-wen Chuang
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/45091933543194112039
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spelling ndltd-TW-094ISU054420312015-10-13T14:49:54Z http://ndltd.ncl.edu.tw/handle/45091933543194112039 Research on Automatic Unmanned Vehicle Guided by Mechanical Vision 以機器視覺導引的無人自走車控制研究 Kun‐Ze Wu 吳昆澤 碩士 義守大學 電機工程學系碩士班 94 With the advance in the modern technology, the unmanned vehicles and the artificial intelligent are more significant in many aspects. In the past, the sensors are necessary for the communication between the environment and the computer. Hence, the precision of the sensors is very important. More complex the sensor is, higher fault probability is. To improve this disadvantage, the CMOS CCD is used to be the only feedback instrument in the unmanned automatic vehicle. The image recognition and the driving control are implemented in the software developed in the LabVIEW. The control signal is passed through the printer port to a four axes PWM drivers. The whole system is designed to achieve the vision guided automatically driving. Chin-wen Chuang 莊景文 2006 學位論文 ; thesis 48 zh-TW
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description 碩士 === 義守大學 === 電機工程學系碩士班 === 94 === With the advance in the modern technology, the unmanned vehicles and the artificial intelligent are more significant in many aspects. In the past, the sensors are necessary for the communication between the environment and the computer. Hence, the precision of the sensors is very important. More complex the sensor is, higher fault probability is. To improve this disadvantage, the CMOS CCD is used to be the only feedback instrument in the unmanned automatic vehicle. The image recognition and the driving control are implemented in the software developed in the LabVIEW. The control signal is passed through the printer port to a four axes PWM drivers. The whole system is designed to achieve the vision guided automatically driving.
author2 Chin-wen Chuang
author_facet Chin-wen Chuang
Kun‐Ze Wu
吳昆澤
author Kun‐Ze Wu
吳昆澤
spellingShingle Kun‐Ze Wu
吳昆澤
Research on Automatic Unmanned Vehicle Guided by Mechanical Vision
author_sort Kun‐Ze Wu
title Research on Automatic Unmanned Vehicle Guided by Mechanical Vision
title_short Research on Automatic Unmanned Vehicle Guided by Mechanical Vision
title_full Research on Automatic Unmanned Vehicle Guided by Mechanical Vision
title_fullStr Research on Automatic Unmanned Vehicle Guided by Mechanical Vision
title_full_unstemmed Research on Automatic Unmanned Vehicle Guided by Mechanical Vision
title_sort research on automatic unmanned vehicle guided by mechanical vision
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/45091933543194112039
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