電機工程學系
Permanent URI for this communityhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/85
歷史沿革
本系成立宗旨在整合電子、電機、資訊、控制等多學門之工程技術，以培養跨領域具系統整合能力之電機電子科技人才為目標，同時配合產業界需求、支援國家重點科技發展，以「系統晶片」、「多媒體與通訊」、與「智慧型控制與機器人」等三大領域為核心發展方向，期望藉由學術創新引領產業發展，全力培養能直接投入電機電子產業之高級技術人才，厚植本國科技產業之競爭實力。
本系肇始於民國92年籌設之「應用電子科技研究所」，經一年籌劃，於民國93年8月正式成立，開始招收碩士班研究生，以培養具備理論、實務能力之高階電機電子科技人才為目標。民國96年8月「應用電子科技學系」成立，招收學士班學生，同時間，系所合一為「應用電子科技學系」。民國103年8月更名為「電機工程學系」，民國107年電機工程學系博士班成立，完備從大學部到博士班之學制規模，進一步擴展與深化本系的教學與研究能量。
News
Browse
7 results
Search Results
Item 結合像素差異法與SURF之景深量測系統(2012) 蔡宗翰; Zong-Han Cai本文提出一種結合像素差異法與SURF演算法之景深量測系統。方法是使用單一相機，利用不同拍攝距離所產生的影像畫面，結合SURF演算法匹配兩張影像，接著用ICF演算法移除較差的SURF匹配點，以完成自動選擇參考點。藉由在不同拍攝距離時，目標物特徵點於影像畫面中所產生像素值的差異，實現對於目標物之距離量測，並進一步利用影像畫面中各個目標物特徵點之距離資訊，以平滑內插處理後繪製出景深圖。Item 以SOPC為基礎利用單一攝影機傾斜攝影之移動式機器人物體追蹤與定位系統(行政院國家科學委員會, 2011-07-31) 許陳鑑本計畫擬建置一台以可程式規劃系統晶片(System On Program Chip, SOPC)為基礎，具備 影像物體追蹤(object tracking)、影像式定位(image-based localization)、以及避障功能 (obstacle avoidance)之全方位移動式機器人。作法上係以單一CCD 作傾斜式之攝影(tilt photographing)，據以發展出多種以傾斜式攝影為基礎之影像式距離及角度量測系統，藉 由與物體追蹤技術相結合，達到對於目標物之定位(localization)，並將相關演算法實現 在可程式規劃系統晶片(System On Program Chip, SOPC)上，達到以SOC 晶片系統即時 處理及控制移動式機器人的目的。三年期之計畫共包含5 個研究子題，分別是：(1)全方 位機器人系統架構與建置，(2) 混合型物體影像追蹤系統，(3)影像式物體定位系統，(4) 模糊避障系統，以及(5) SOPC 系統之實現。 機器人系統架構上，本計畫擬設計一台具有全方位移動能力之機器人，視覺系統則 僅配置單一CCD 作傾斜式攝影，作為影像式距離量測、影像物體追蹤、以及影像式物 體定位等相關系統之基礎；機器人的週邊則配置有超音波感測器、紅外線感測器，利用 多重感測器資料融合技術，建立機器人之模糊避障(fuzzy obstacle avidance)功能。在影像 物體追蹤方面，本計畫擬以粒子濾波器演算法(particle filter, PF)、粒子群最佳化法(particle swarm optimization, PSO)，以及單體搜尋法(Nelder-Mead Simplex Search Method, NM)為 基礎，擷取其長處予以整合，開發兩種混合型(Hybrid)目標物體追蹤法，配合特徵為基 礎之物體辨識技術(feature-based methods for object recognition)，快速偵測目標物體，再 輔以所開發出來之多種影像式物體定位系統，以獲取所偵測到的目標物體相對於量測系 統的座標位置。在機器人避障系統方面，本計畫擬設計一模糊系統，將多種感測器資訊 融合成障礙物的距離與方向資訊，並透過模糊避障機制來決定機器人的移動方向與旋轉 角度，最後再以SOPC 實現各種相關演算法，利用FPGA 的硬體電路優勢，以軟硬體協 同設計(Hardware/Software Co-design)的技術設計各種硬體加速器電路，提升相關演算法 的執行效率，實現以SOC 晶片系統即時處理及控制移動式機器人的目的。Item Image-Based System for Measuring Objects on an Oblique Surface(2010-05-06) Chen-Chien Hsu; Wei-Yen Wang; Yin-Yu Lu; Ming-Chih LuThis paper presents an image-based framework for measuring target objects on an oblique plane by using a single CCD camera and two parallel laser projectors beside the camera. Because of the alignment of the laser beams which form in parallel with the optical axis, projected spots in the image can be processed to establish relationships between distance and pixel counts between the projected spots in the image. Based on simple geometrical derivations without complex image processing, the proposed approach can measure the photographing distance, the distance between two arbitrary points on the oblique surface, and the incline angle. Experiment results have demonstrated the effectiveness of the proposed approach in measuring distant objects on an oblique plane.Item Distance and Angle Measurement of Distant Objects on an Oblique Plane Based on Pixel Variation of CCD Image(2010-05-06) Ming-Chih Lu; Chen-Chien Hsu; Yin-Yu LuThis paper presents an image-based system for measuring target objects on an oblique plane based on pixel variation of CCD images for digital cameras by referencing to two arbitrarily designated points in image frames. Based on an established relationship between the displacement of the camera movement along the photographing direction and the difference in pixel counts between reference points in the images, photographing distance between the camera and an object on the oblique target plane can be calculated via the proposed method.Item Distance Measurement Based on Pixel Variation of CCD Images(2009-02-12) Chen-Chien Hsu; Ming-Chih Lu; Ke-Wei ChinThis paper presents a distance measurement method based on pixel number variation of images for digital cameras by referencing to two arbitrarily designated points in image frames. Based on an established relationship between the displacement of the camera movement along the photographing direction and the difference in pixel counts between reference points in the images, distance from an object can be calculated via the proposed method. To integrate the measuring functions into digital cameras, circuit design implementing the proposed measuring system in selecting reference points, measuring distance, and displaying measurement results on CCD panel of the digital camera is proposed in this paper. In comparison to pattern recognition or image analysis methods, the proposed measuring approach is simple and straightforward for practical implementation into digital cameras. Experiment results have demonstrated that the proposed method is capable of yielding satisfactory measurement results in a very responsive way.Item Distance and Angle Measurement of Distant Objects on an Oblique Plane Based on Pixel Number Variation of CCD Images(Institute of Electrical and Electronics Engineers (IEEE), 2011-05-01) Chen-Chien Hsu; Ming-Chih Lu; Yin-Yu LuThis paper presents an image-based system for measuring target objects on an oblique plane based on pixel number variation of charge-coupled device images for digital cameras by referencing to two arbitrarily designated points in the image frame. Based on an established relationship between the displacement of the camera movement along the photographing direction and the variation in pixel counts between the reference points in the images, photographic distance and incline angle for objects lying on an oblique plane can be calculated via the proposed method. As a real-case application of the proposed approach, 2-D localization of target objects in robot soccer competitions is also demonstrated to show the effectiveness of the proposed approach. To allow the use of widely available digital zoom cameras for ranging and localization by the proposed method, a parameter equivalent to the displacement due to the camera movement is also investigated and derived in this paper.Item Image-Based System for Measuring Objects on an Oblique Plane and It Applications in Two-Dimensional Localization(IEEE Sensors Council, 2012-06-01) Ming-Chih Lu; Chen-Chien Hsu; Yin-Yu LuThis paper presents an image-based framework for measuring target objects on an oblique plane by using a single charge-coupled device camera and two laser projectors mounted in parallel beside the camera. Because of the alignment of the laser beams, which form in parallel with the optical axis of the camera, laser-projected spots in the image can be processed to establish relationships between distance and pixel counts of the projected spots in the image. Based on simple geometrical derivations without complex image processing, the proposed approach can successfully measure the photographic distance, the distance between two arbitrary points on the oblique surface, and the incline angle of the oblique surface. Thanks to its ranging capability, the proposed image-based measuring system is further applied to localize objects on a ground surface in addition to depth measurement. To demonstrate the feasibility of the proposed approach for practical applications, we propose a surveillance framework under which a pan-tilt-zoom camera tracks objects in an environment according to the 2-D localization results obtained via the proposed method. Experimental results have demonstrated the effectiveness of the proposed approach in distance measurement, as well as localization of objects on an oblique plane.