教師著作

Permanent URI for this collectionhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31268

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Author: search.filters.author.Chen-Chien HsuEnd date: 2009

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Now showing 1 - 10 of 37
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    Distance Measurement Based on Pixel Variation of CCD Images
    (2009-02-12) Chen-Chien Hsu; Ming-Chih Lu; Ke-Wei Chin
    This 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.
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    Three-Dimensional Measurement of a Remote Object with a Single CCD Camera
    (2009-02-12) Ti-Ho Wang; Chen-Chien Hsu; Chun-Wei Huang; Yu-Ching Lu
    This paper presents a novel method by regulating the height of a CCD camera to measure the width and height of a targeted object. That is, three-dimensional measurement can be obtained with the use of a single CCD camera. To facilitate the measurement using various kinds of CCD cameras, parameters pertinent to the cameras can be established via a proposed mechanism in this paper. As a result, any kinds of CCD cameras can be used to perform three dimensional measurement of a targeted object via software implementation of the proposed measuring method. No changes to the circuits or structure of the camera are required.
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    Design of an Optimal Fuzzy Controller for Mobile Robots via an Evolutionary Approach
    (2009-06-03) Chen-Chien Hsu; June-Wei Huang; Hung-Chih Teng
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    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.
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    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.
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    Digital redesign of interval systems via particle swarm optimization
    (2008-08-15) Chen-Chien Hsu; Chun-Hwui Gao
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    Digital redesign of uncertain interval systems based on time-response resemblance via particle swarm optimization
    (2008-06-27) Chen-Chien Hsu; Geng-Yu Lin
    In this paper, a novel design approach based on time-response resemblance of the closed-loop system via particle swarm optimization is proposed to improve performance of the redesigned digital system for continuous-time uncertain interval systems. The design rationale of the proposed approach is to derive a digital controller for the redesigned digital system so that step response sequences corresponding to the extremal sequence energy closely match those of their continuous counterpart under the perturbation of the plant parameters. By suitably formulating the design problem as an optimization problem, an evolution framework incorporating three PSOs (particle swarm optimizations) is presented to derive a set of optimal parameters for the digital controller. Computer simulations have shown that time responses of the redesigned digital system having an interval plant have a better resemblance to their continuous-time counter part in comparison those obtained using existing open-loop discretization methods.
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    A Practical Nighttime Vehicle Distance Alarm System
    (2008-10-15) Ming-Chih Lu; Wei-Yen Wang; Chen-Chien Hsu; Yin Yu Lu; Cheng-Pei Tsai
    This paper presents a practical nighttime vehicle distance measuring method based on a single CCD image. The method combines an image-based distance measuring system. To solve the nighttime feature extraction problem, the proposed method uses two taillights as the feature. Based on the proportionality of similar triangles, distance between a CCD camera and the taillights of the vehicle ahead can be measured. The method focuses on detecting the taillights and differentiating the targeted vehicle from others on the basis of partial image analysis instead of whole image processing. The system is both fast and simple. The accuracy of the proposed method is demonstrated in this paper through experiences.