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飞思卡尔智能车赛道识别及控制策略研究
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安徽省教育厅自然科学重点研究项目(KJ2014A034)


Research on Path Identification and Control Strategies of Freescale Smart Car
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    摘要:

    文中研究分析了基于面阵CCD的智能车赛道识别以及对应的控制策略。在获得赛道图像的同时,分析了摄像头安装角度及高度造成的图像失真情况,提出了分段加权修正的方法,在此基础上,采用黑线中心提取算法实时处理图像,分析了中心引导线图像特点及前瞻影响,提出了一种识别和中心提取方法。然后,进行了舵机性能测试,根据前面处理图像信息采用PID控制方法控制舵机转向,并采用BangBang & PID综合控制方法对智能车行驶速度进行控制,提升了智能车的平稳性和行驶速度。

    Abstract:

    Based on area array CCD,the path identification and control strategies for freescale intelligent smart car were analyzed. While obtaining the image of the path,the image distorting induced by installation angle and height of the camera was analyzed, and a segmental correction method was used to deduce the bad influence. On this basis, the black line center extration algorithm was used to process the realtime image, and the central guide line's image characteristics and prospective influence were analyzed.A method for recognition and center extration was proposed. Then, the performance of the steering gear was carried out. According the previously processed image information,the PID control method was used to control the steering of the steering gear and BangBang & PID integrated control method was used to control the driving speed of the smart car,which improved its stability and driving speed.

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邹华东,贾瑞清,张畅.飞思卡尔智能车赛道识别及控制策略研究[J].机床与液压,2018,46(15):94-98.
. Research on Path Identification and Control Strategies of Freescale Smart Car[J]. Machine Tool & Hydraulics,2018,46(15):94-98

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  • 在线发布日期: 2019-07-04
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