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

Search Results

Now showing 1 - 4 of 4
  • Item
    Improved Ultrasonic-Based Localization Using Reflection Method
    (2009-02-02) Chen-Chien Hsu; Hsin-Chuan Chen; Chien-Yu Lai
    In this paper, an ultrasonic-based localization using ultrasonic reflection method is proposed. Experiment environment includes a mobile robot and four poles forming a square around the measuring site. Ultrasonic sensors built on the poles serve as receivers and the mobile robot serves as a transmitter, and all ultrasonic sensors are integrated with their Zig-Bee modules. By the sequential ultrasonic signal transmission between the robot and the poles, the ultrasonic sensors on the poles can then measure the time-of-flight (TOF) without interference to calculate the distance between the receiver and transmitter ends. According to an established two-dimensional coordinate model, position of the robot can be obtained based on the distance measurements. Thanks to Zig-Bee modules, position information of the robot can be instantly conveyed to a remote PC for monitoring the robot and path planning. Extensive experiments conducted have shown a satisfactory accuracy of the coordinates of the mobile robot can be obtained via the proposed localization scheme.
  • Item
    2-Dimenional Localization Based on Tilt Photographing of a Single CCD Camera
    (2009-02-12) Ming-Yu Cheng; Chen-Chien Hsu; Pei-Jun Lee
    This paper provides an image-based localization method based on tilt photographing of a single CCD camera. Image captured by the CCD camera is pre-processing to locate the target object in the picture in terms of pixel count deviation from the CCD camera. By using an established formula based on relationship between tilt angle of the CCD camera and distance, coordinate of the target object can be calculated. Experiment results have demonstrated that the feasibility of the proposed approach with satisfactory accuracy in determining the position of the target object.
  • 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 Lu
    This 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 Lu
    This 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.