论文中文题名: | 基于计算机视觉的智能小车定位导航系统研制 |
姓名: | |
学号: | 06172 |
保密级别: | 公开 |
学科代码: | 081101 |
学科名称: | 控制理论与控制工程 |
学生类型: | 硕士 |
学位年度: | 2009 |
院系: | |
专业: | |
第一导师姓名: | |
论文外文题名: | The Research and Making of Intelligent Vehicle Location and Navigation System Based on Computer Vision |
论文中文关键词: | 算机视觉:图像预处理 ; 摄像机标定 ; 目标识别 |
论文外文关键词: | Compmer vision Image preprocessing Camera standardization Target |
论文中文摘要: |
随着计算机技术尤其是多媒体技术和数字图像处理及分析理论的成熟,以及大规模
集成电路的迅速发展,计算机视觉技术得到了各国深入的应用研究。由于计算机视觉系
统可以快速获取大量信息,而且易于自动处理,也易于同设计信息以及加工控制信息集
成,因此,在现代自动化生产过程中,人们将计算机视觉系统广泛地用于工况监视、成
品检验、质量控制和机器人等领域。
在基于计算机视觉的智能小车定位导航系统中,视觉子系统是一个不可或缺的组成
部分,它是整个体系的检测机构和“眼睛”,是控制决策子系统的重要信息来源。它的主
要任务是实时采集工作场地的图像,然后经过对图像进行一系列分析、处理和辨识,从
而获得场地上智能小车的运动状态信息,并将这些信息矩阵提供给控制决策子系统进行
分析和决策。
论文完成的主要内容如下:
(1)分析提出系统总体设计思路和视觉子系统的基本设计要求;
(2)详细介绍了视觉子系统工作流程;
(3)设计了一个完整的视觉子系统结构并通过VC++6.0编程实现:
(4)提出并实现满足系统要求的摄像机标定算法;
(5)提出并实现满足系统要求的目标搜索算法;
试验结果表明,整个视觉子系统能很好地完成其辨识任务,为控制决策子系统提供
了可靠的位姿信息,达到了实时性、稳定性与准确性的要求,为后期的研究建立了一个
基础平台,具有良好的应用前景。
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论文外文摘要: |
With the development of computer technology,especially the matl lre of multimedia
technology and digital image process theory,rapid progress of large.scale integrate circuit:
computer vision has been widely investigated by many countries.Owing to cornputer vision
Can acquire huge information in short time and easy to carry out automatism,integrated with
design and machining control information,therefore,people use computer vision in modem
automation process at various fields such as condition inspecting,finished product test and
quality control etc.
In the intelligent vehicle location and navigation system based on computer visiolL
vision system is a vital part,it is the eye of overall system,and the important resource of
information provided tO the control and strategy system.The assignment of vision system is
to grab the primal image of the scene,then analyze,dispose and identify the image,
accordingly get the motion state information of the intelligent vehicle.Finally it supplies
control and strategy system with all the information.
The paper completes the main following content:
(1)Analyze the design ideas of the overall system and the basic design request of the
vision system.
(2)Elaborate the processing flow of the vision system in detail.
(3)Design a whole vision system and actualize it bv VC+怕.0.
(4)Put forward and actualize the camera standardization algorithm.
(5)Put forward and actualize the target search algorithm.
The rusults of the test demonstrates the vision system call identify the objeets
commendably·It supplies control and strategy system with reliable location锄d posture
information,satisfies the request of real-time,stability and precision.Meanwhile it sets up a platform for upper research and has a bright future in application prospects.
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中图分类号: | TP391.41; TP242.6 |
开放日期: | 2011-09-05 |