| 基于模糊控制的智能车路况识别 |
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| 引用本文： | 邱铁,徐子川,江贺.基于模糊控制的智能车路况识别[J].计算机工程与应用,2009,45(14):213-216. |
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| 作者姓名： | 邱铁 徐子川 江贺 |
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| 作者单位： | 大连理工大学,软件学院,辽宁,大连,116621 |
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| 摘 要： | 如何根据传感器输入信息快速识别出前方道路情况,是智能车控制领域研究的重点。基于32位瑞萨微控制器和CCD摄像头传感器构成智能车硬件平台,提出了基于模糊控制的路况识别控制算法。对CCD传感器采集的视频信号进行二值化,利用模糊识别算法处理二值化的视频信息,有效地屏蔽了外界光线等干扰因素对CCD传感器的影响,使智能车能够根据路况信息做出快速反应。
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| 关 键 词： | 智能车 CCD传感器 二值化图像 模糊识别 |
| 收稿时间： | 2008-3-17 |
| 修稿时间： | 2008-5-19
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Smartcar road status recognition based on fuzzy control |
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| QIU Tie,XU Zi-chuan,JIANG He.Smartcar road status recognition based on fuzzy control[J].Computer Engineering and Applications,2009,45(14):213-216. |
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| Authors: | QIU Tie XU Zi-chuan JIANG He |
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| Affiliation: | QIU Tie,XU Zi-chuan,JIANG He School of Software,Dalian University of Technology,Dalian,Liaoning 116621,China |
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| Abstract: | In the smartcar control area,a key problem is how to recognize the road status according to the information coming form senser.Discuss the road status recognition method based on fuzzy control on the hardware construction of a 32-bit renesas MCU and a CCD camera.After the binaryzation of the sensor's signal,fuzzy-recognition method is applied to process the image information known as road status.This sound method can efficiently avoid the interference coming from the ray and something else and make the smar... |
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| Keywords: | smartcar CCD sensor binary image fuzzy recognition |
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