本文所作的工作主要是机器人视觉测距系统的标定、图像畸变的校正、机器人视觉定位。
My major work is calibrating the binocular measurement system, measuring the distance between binocular robot and objects, i. e. localizing objects and itself, and correcting image distortion.
提出了一种新的视觉定位方法，用此方法测出移动机器人与目标物体之间的相对距离。
A new method of vision location is putted forward, and can measure the relative distance between the mobile robot and goal.
本文主要研究自动驾驶机器人视觉系统中的牌照字符定位以及识别。
This thesis mainly studies character locating and recognition in vision systems of auto-driving robot.
因此，前景视觉常常被用来进行球的精确定位和机器人的自定位。
So the local vision is often used for precis positioning of ball and robots 'self-positioning.
在系统中，机器人可以在视觉系统的引导下自动定位到任意平面焊缝的起始位置。
In this system, welding robot can be guided to the initial welding position of any planar weld automatically by the aid of a charge coupled device camera.
视觉伺服可以应用于机器人初始定位自动导引、自动避障、轨线跟踪和运动目标跟踪等控制系统中。
Visual servo system can be used in the control systems of robot original orientation guiding, obstacle avoiding, trajectory tracking and moving object tracking, etc.
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。
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.
面向大规模室内环境，研究了基于全向视觉的移动机器人自定位。
Towards large-scale indoor environment, a novel metric-topological 3D map is proposed for robot self- localization based on omnidirectional vision.
鱼眼镜头成像立体视觉系统在微小型机器人视觉导航和近距离大视场物体识别与定位中有着广泛的应用。
In the application of mini-micro-robot visual perception, there is a need for fish-eye lenses for capturing wide field of view for navigation.
为了实现定位抓取任务，提出基于网络的直角坐标机器人视觉控制系统。
Network based visual servo system of the orthogonal coordinate robot was proposed, in order to implement grasping job.
本文介绍了一种通过单目视觉测量，实现机器人的自主定位的数学方法。
This paper introduces a method through the measurement by monocular vision which is used in the self-localization by mathematic method.
该系统的视觉部分主要完成机器人姿态跟踪及捕获目标的识别定位。
The vision part of the system tracks the gestures of the robot and at the same time hunts the target to identify its location.
对MOTOMAN - SV3XL机器人采用眼固定和眼在手的无标定视觉系统，实现对二维平面固定目标的定位。
The fixed camera and eye in hand structure of uncalibrated visual system is used in MOTOMAN-SV3XL. 3.
对MOTOMAN - SV3XL机器人采用眼固定和眼在手的无标定视觉系统，实现对二维平面固定目标的定位。
The fixed camera and eye in hand structure of uncalibrated visual system is used in MOTOMAN-SV3XL. 3.
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