使用線上稀疏呈現的物件模型進行機器人並行追蹤與建圖

淡江大學機構典藏 > 工學院 > 機械與機電工程學系暨研究所 > 學位論文 > Item 987654321/88003

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/88003

题名:	使用線上稀疏呈現的物件模型進行機器人並行追蹤與建圖
其它题名:	Robot parallel tracking and mapping using online sparse-representation object model
作者:	陳國瑋;Chen, Kuo-Wei
贡献者:	淡江大學機械與機電工程學系碩士班王銀添
关键词:	並行追蹤與建圖;線上物件模型;狀態估測;視覺式感測;Parallel Tracking and Mapping (PTAM);On-Line Object Model;state estimation;Visual sensing
日期:	2012
上传时间:	2013-04-13 11:56:14 (UTC+8)
摘要:	本論文針對視覺式動態環境中同時定位、建圖與移動物體追蹤的研究議題，探討使用移動攝影機偵測與追蹤移動物體之任務。主要研究議題包括發展線上建立物件模型以及偵測與追蹤移動物體等演算法。偵測明顯的影像特徵點做為線上建模之訓練資料，以便建立稀疏呈現的物件模型。比對環境中的影像特徵與物件模型的元件，以辨識物體與搜尋物體的位置。發展的演算法再結合移動物體偵測、狀態估測方法、與視覺式感測等技術，完成以移動攝影機偵測與追蹤移動物體。整合的系統將可以應用在行動機器人、輪椅、汽車、與飛行機器人之上，執行動態環境中並行追蹤移動物體與建圖的任務。 This thesis presents an algorithm of moving object detection and tracking for robot concurrently localization, mapping and moving object tracking in dynamic environment. The major research topics include on-line object model construction as well as moving object detection and tracking. Apparent image features are detected and utilized as the training data for on-line constructing and sparse representing the object model. After the object model is constructed, the model elements are further matched with the image features obtained from the environment in order to recognize the object and search the object position in image and cartesian spaces. Furthermore, the developed algorithm is integrated with the methods of moving object detection, state estimation, and visual sensing to develop a system which is capable of tracking moving objects using moving camera. The detecting and tracking method developed in this thesis is capable of being applied in many systems such as mobile robot, wheelchair, car, and aerial robot to implement the tasks of parallel tracking and mapping in dynamic environments.
显示于类别:	[機械與機電工程學系暨研究所] 學位論文

文件中的档案:

档案	大小	格式	浏览次数
index.html	0Kb	HTML	210	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章

数据加载中.....