Robot Obstacle Detection and Setup of Vision System Platform
碩士 === 國立臺北教育大學 === 資訊科學系碩士班 === 98 === There are many methods in tracking or avoidance obstacle, but those never can achieve that get to change any condition. We use 3D vision and image recognizable match, those are different from most infrared and ultrasound method that are used to detect the dist...
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ndltd-TW-098NTPTC3940102015-10-13T18:20:41Z http://ndltd.ncl.edu.tw/handle/26501947392280184980 Robot Obstacle Detection and Setup of Vision System Platform 機器人障礙物距離偵測及視覺系統平台之建置 Chuan-Siang Wang 汪川翔 碩士 國立臺北教育大學 資訊科學系碩士班 98 There are many methods in tracking or avoidance obstacle, but those never can achieve that get to change any condition. We use 3D vision and image recognizable match, those are different from most infrared and ultrasound method that are used to detect the distance between targets. In order to reduce the less important of the situation which will affect tracking or avoidance obstacle, the pairs of CCD are used to catch the real-time images. And then, we try to image processing, determine moving target and build up target center. The purpose of this part is to calculate the distance from the CCD base to the target object. Finally, we match samples to control the CCD to track the moving object immediately. Also, an image tracking system will be setup. It will follow the data of images, and calculate the center of the target object. Then, we can drive the vision system to lock the 2-CCDs in the center of the target object. Tsong-Yao Huang Tsong-Liang Huang 黃聰耀 黃聰亮 2010 學位論文 ; thesis 80 zh-TW |
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碩士 === 國立臺北教育大學 === 資訊科學系碩士班 === 98 === There are many methods in tracking or avoidance obstacle, but those never can achieve that get to change any condition. We use 3D vision and image recognizable match, those are different from most infrared and ultrasound method that are used to detect the distance between targets. In order to reduce the less important of the situation which will affect tracking or avoidance obstacle, the pairs of CCD are used to catch the real-time images. And then, we try to image processing, determine moving target and build up target center. The purpose of this part is to calculate the distance from the CCD base to the target object. Finally, we match samples to control the CCD to track the moving object immediately. Also, an image tracking system will be setup. It will follow the data of images, and calculate the center of the target object. Then, we can drive the vision system to lock the 2-CCDs in the center of the target object.
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Tsong-Yao Huang |
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Tsong-Yao Huang Chuan-Siang Wang 汪川翔 |
author |
Chuan-Siang Wang 汪川翔 |
spellingShingle |
Chuan-Siang Wang 汪川翔 Robot Obstacle Detection and Setup of Vision System Platform |
author_sort |
Chuan-Siang Wang |
title |
Robot Obstacle Detection and Setup of Vision System Platform |
title_short |
Robot Obstacle Detection and Setup of Vision System Platform |
title_full |
Robot Obstacle Detection and Setup of Vision System Platform |
title_fullStr |
Robot Obstacle Detection and Setup of Vision System Platform |
title_full_unstemmed |
Robot Obstacle Detection and Setup of Vision System Platform |
title_sort |
robot obstacle detection and setup of vision system platform |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/26501947392280184980 |
work_keys_str_mv |
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