研究生: |
許竣揚 Chun-Yang Hsu |
---|---|
論文名稱: |
單一相機同時定位與環境地圖建製於二維移動載具之實現 Implementation of Monocular SLAM Technique in 2-Dimensional Robot Vehicle |
指導教授: |
高維文
Wei-wen Kao |
口試委員: |
陳亮光
Liang-kuang Chen 蔡岳廷 none |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 機械工程系 Department of Mechanical Engineering |
論文出版年: | 2011 |
畢業學年度: | 99 |
語文別: | 中文 |
論文頁數: | 93 |
中文關鍵詞: | 單一相機 、同時定位與建圖 、特徵點辨識 、室內定位 |
外文關鍵詞: | Single camera, SLAM, Feature detection, Indoor positioning |
相關次數: | 點閱:279 下載:2 |
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一般以影像為基礎的定位方式常使用單一相機配合連續拍攝影像,藉由影像變化來求解的單一相機定位法。本文藉由偵測影像內特徵點的位置或相對關係,可推算出特徵點的位置或相機自身的位置與姿態的變化。定位的演算若用於已知環境則僅利用已知特徵點位置求取相機位置;若於未知環境則可將特徵點位置及相機自身位置均視為未知,並使用同時定位與建圖(SLAM)的相關技術求解。本文先針對不同特徵點分佈在空間中的狀況進行系統模擬,最後在二維平面運動載具上實現。
The located method which based on image was used to use single camera with sequential images. It’s a single camera located method solved by image variations. In this thesis, we estimated the positions of the feature points or the intrinsic position and orientation of camera by feature points in the image. Located algorithm may only used the known feature points position to find the camera position if used in known environment. If it was used in the unknown environment, it may treat the positions of feature points and the intrinsic position of camera as unknown. Furthermore, it could be solved by using the technique of simultaneous localization and mapping. In this thesis, we executed the system simulation on the situation of different feature points distributed in the space first. Finally, we implement it on two dimensional robot vehicle.
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