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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/83423


    Title: 單目視覺倒車入庫系統;A Backward Parking System based on Monocular Vision
    Authors: 蔡金倫;Cai, Jin-Lun
    Contributors: 光機電工程研究所
    Keywords: 單目視覺;相機校正;自走車;停車;輪廓檢測;Monocular vision;Camera calibration;Selfguiding vehicle;parking;Contour detection
    Date: 2020-08-05
    Issue Date: 2020-09-02 15:37:20 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 本研究使用單晶片電腦RaspberryPi 搭載單目鏡頭作為機器視覺系
    統,經由UART 將控制所需之回授訊號傳輸至車體控制系統之微處理器
    Arduino 控制自走車。機器視覺系統方面利用二值化、Canny 邊緣檢測、
    閉運算、輪廓檢測等影像處理技術判斷鏡頭是否捕捉到停車格影像,並
    利用相機校正取得單目相機之內參及外參,從而建立三維世界座標與二
    維像素座標之間的對應關係,解算後取得相機與停車格之距離與偏航角
    作為車體控制所需之參數。車體控制系統方面利用Arduino 接收之訊號
    控制鏡頭轉動,並使用PID、PI 控制法輸出PWM 訊號控制馬達實現自
    走車倒車入庫。;This research uses a singlechip
    microcomputer RaspberryPi equipped
    with a monocular len as a machine vision system, and transmits the
    values required for control via UART to the microprocessor Arduino, serving
    as a vehicle body control system, to control the selfguiding
    vehicle.
    The machine vision system uses image processing techniques such as
    binarization, Canny edge detection, closed operation, and contour detection
    to determine whether the camera captures a parking grid image,
    and uses camera calibration to obtain the internal and external parameters
    of the monocular camera, thereby establish the correspondence between
    the threedimensional
    world coordinates and the twodimensional
    pixel coordinates, After calculation, the distance between the camera,
    the parking space and the yaw angle are obtained as parameters required
    for vehicle body control. In the body control system, the signal
    received by the Arduino is used to control the lens rotation, and the PID
    and PI control methods are used to output PWM signals to control the
    motor to realize selfguiding
    vehicle backward parking.
    Appears in Collections:[光機電工程研究所 ] 博碩士論文

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