完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Tsai, Shung-Yung | |
dc.contributor.author | Tsai, Wen-Hsiang | |
dc.date.accessioned | 2009-06-02T07:06:05Z | |
dc.date.accessioned | 2020-05-25T06:49:15Z | - |
dc.date.available | 2009-06-02T07:06:05Z | |
dc.date.available | 2020-05-25T06:49:15Z | - |
dc.date.issued | 2009-02-12T03:28:10Z | |
dc.date.submitted | 2009-02-11 | |
dc.identifier.uri | http://dspace.lib.fcu.edu.tw/handle/2377/11219 | - |
dc.description.abstract | A simple automatic path learning method for an intelligent autonomous vision-based vehicle system by person following and along-path object image matching is proposed. The vehicle can follow a person through a path in an indoor environment and navigates back to the start point by itself by the data learned during the following process. A technique of matching flat-surfaced object images using SIFT features is adopted for the vehicle to localize itself according to its learned path during the navigation process. In addition, a technique for dynamically refining the traversed path points which are learned during person following is proposed. Finally, a technique of odometer calibration, which uses a calibration model to reduce incremental mechanical errors the vehicle suffers, is proposed to increase path traversing accuracy. Good experimental results show the feasibility of the proposed techniques. | |
dc.description.sponsorship | 淡江大學,台北縣 | |
dc.format.extent | 6p. | |
dc.relation.ispartofseries | 2008 ICS會議 | |
dc.subject.other | Image Processing | |
dc.title | SIMPLE AUTOMATIC PATH LEARNING FOR AUTONOMOUS VEHICLE NAVIGATION BY ULTRASONIC SENSING AND COMPUTER VISION TECHNIQUES | |
分類: | 2008年 ICS 國際計算機會議 |
文件中的檔案:
檔案 | 描述 | 大小 | 格式 | |
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ce07ics002008000129.pdf | 225.64 kB | Adobe PDF | 檢視/開啟 |
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