This dissertation is devoted to the research of the digital image process, the design and realization of the mobile robot vision control system.
本文针对移动机器人视觉图像处理算法、控制的软件平台设计开展研究工作。
Based on the practice of mobile robot vision navigation, the paper presents methods of image segmentation based on color models and object recognition.
基于移动机器人视觉处理的实践，提出了基于颜色模型的图像分割方法。
It is significant to research on mobile robot vision system and the related technology, such as camera calibration, multi-sensor fusion, robot navigation and control theory.
研究移动机器人视觉系统及其摄像机标定、多传感器信息融合、导航控制理论与方法具有非常重要的意义。
The tracking algorithm proposed in this paper has good usability, it will have good value to mobile robot vision technology, especially the related navigation system design.
本文提出的算法具有一定的实用性，对今后的移动机器人视觉技术，尤其是相关的导航系统设计与研究有一定的参考价值。
This research includes error factor, multilateral scanning, denoising area of the preprocessing and color features in particular circumstances for a mobile robot vision system.
本课题针对特定环境下的移动机器人视觉系统提出了误差因子、多边扫描、预算面积去噪以及颜色特征在特定环境下的提取等改进方法。
The navigation subsystem of the mobile robot fuses the position estimation obtained by a vision system with the position estimated by odometry using a Kalman filter.
移动机器人的导航子系统利用卡尔曼滤波器，融合由视觉系统与由里程计获得的位置估计值。
This paper presents the design and implementation of a teleoperation system based on vision for the mobile robot THMR-V.
介绍了基于视觉的移动机器人THMR-V遥控系统的设计及实施。
With the platform of AS-R wheeled mobile robot, this paper mainly studied the path following problem based on the self-vision and multi-sensor information fusion.
本文以AS - R移动机器人为平台，主要研究了基于自主视觉和多传感器信息融合的路径跟踪问题。
This paper proposes a global self-localization method and navigation strategies for indoor mobile robot, based on monocular vision and multi-sonar sensors to recognize the doorplate.
提出了一种采用单目视觉和多超声传感器来识别门牌号的室内移动机器人全局自定位方法和导航策略。
For Wheeled Mobile Robot (WMR), acquiring information by vision is one of the most important sensing methods.
视觉是轮式移动机器人最重要的感知手段之一。
The issue of mobile robot based on binocular vision to track moving object is mainly studied in this thesis, the tracking object is another mobile robot.
本课题着重研究了基于双目视觉的移动机器人运动物体跟踪问题，其中跟踪的目标为另一台移动机器人。
This paper describes the essential technologies of a maritime rescue vessel using a mobile robot with omnidirectional vision.
针对海上搜救的背景，研究了基于全景视觉的移动机器人进行海上救助的关键技术。
A mobile harvesting robot consists of manipulator, end-effector, mobile wheels, machine vision and control system and so on.
移动式采摘机器人由机械手、末端执行器、移动机构、机器视觉系统以及控制系统等构成。
In a word, it is a robust, reliable and real-time approach that can meet the requirement of vision navigation of miniature mobile land robot.
总之，该算法具备较好的鲁棒性，可靠性以及实时性，可以满足小型自主移动地面机器人的视觉导航需要。
Secondly, intelligent mobile robot and remote reality, based on Omni-Directional Vision, is combined together to design the teleoperation system of mobile robot.
其次，把智能移动机器人和全景视觉相结合，设计了基于全景视觉远程现实的移动机器人遥操作系统。
This method has obtained an accurate and complete detection result and improved the real-time detection, as a result, it can be used in an intelligent mobile robot system based on vision navigation.
该方法获得了准确、完整的检测结果，提高了检测的实时性，可用于视觉导航的智能移动机器人系统。
Based on task of mobile robots' vision, the mobile robot 'vision system of hardware is presented.
在此基础上讨论了机器人视觉的主要任务，并且介绍了机器人视觉的硬件组成。
The paper discusses a new mobile robot localization method by means of fusion of a 2-D laser scanner and omni-directional vision.
讨论了通过二维激光传感器和全维视觉传感器提取数据融合技术进行移动机器人定位的新方法 。
A passive binocular vision measuring system for 3d-perception of mobile robot is studied.
研究了一种用于移动机器人进行三维感知的被动双目立体视觉测量系统。
Intelligent control method is a key technique for machine vision based mobile robot and autonomous land vehicle navigation.
移动机器人的智能控制技术是基于机器视觉的移动机器人与智能车辆自主导航的关键技术之一。
In order to improve the capability of dynamic obstacle recognition for indoor mobile robot, a method uf dynamic obstacle recognition based on three-dimensional vision is presented.
为了提高室内机器人的动态障碍物识别能力，提出了一种基于立体视觉的实时障碍物识别方法。
A realtime dynamic object recognition and localization method is presented for mobile robot using binocular vision.
提出了一种双目移动机器人实时动态目标识别与定位方法。
For Wheeled Mobile Robot (WMR), moving by getting information offered from vision is one of the hottest research in the world.
研究了轮式移动机器人(WMR)的运动问题，分析了一种理想滚动情况下航向角控制的差动运动模型。
For Wheeled Mobile Robot (WMR), moving by getting information offered from vision is one of the hottest research in the world.
研究了轮式移动机器人(WMR)的运动问题，分析了一种理想滚动情况下航向角控制的差动运动模型。
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