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实时视觉系统
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  real-time vision system
     Robot soccer match is a new field in AI , and micro robot soccer just provide a kind of high-technology competition platform for MAS. It involves many technologies such as real-time vision system, wireless communication, controls of multi-robot and so on, and it already was a criterion trial platform in MAS.
     机器人足球赛是人工智能方面的一个新兴的研究领域,微型足球机器人系统恰好为多智能体系统(MAS)的研究提供了一种有效的小型高科技对抗平台,它融合了实时视觉系统、无线通讯、多机器人控制等多个领域的技术,已成为研究多智能体系统的一个标准实验平台。
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  “实时视觉系统”译为未确定词的双语例句
     Experimental results show that the method is convenient and effective.
     实验表明该方法简单、有效,满足实时视觉系统的要求.
短句来源
     Robot soccer game is an interesting newly arisen artificial intelligence research field,it blends solid hour visual system,robot control,wireless communication,many robots control,and it provides practice platform for artifitial intelligence and intelligence control thory research.
     机器人足球比赛是一个有趣且复杂的新兴人工智能研究领域,他融合了实时视觉系统、机器人控制、无线通讯、多机器人控制等多个领域的技术,为人工智能和智能控制的理论学习与研究及多种技术的集成应用提供了相当好的实验平台。
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  相似匹配句对
     A Real Time Visual Servo Control Scheme for Robotic Manipulators
     机械手实时视觉伺服控制系统的研究
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     The Rohot Vision System
     机器人视觉系统
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     REAL-TIME PRODUCTION SYSTEMS
     实时产生式系统
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     On Real-time Database Systems
     实时数据库系统
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     Real time obstacle detection system for biped robot
     双足机器人实时障碍检测视觉系统
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  real-time vision system
Computing power requirements for high definition, real-time vision system are discussed.
      
This paper describes a real-time vision system that enhances the teleoperation of a servicing tool used in the heat exchangers of nuclear power plants.
      
A real-time vision system using an integrated memory array processor prototype
      
This paper describes a real-time vision system (RVS) architecture and performance and its use of an integrated memory array processor (IMAP) prototype.
      
The paper presents a real-time vision system to compute traffic parameters by analyzing monocular image sequences coming from pole-mounted video cameras at urban crossroads.
      
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A track correlation based method for improving the vision system in robot soccer is proposed according to the dynamic model of the robot and the ball to improve the velocity, accuracy, and adaptability of the vision system. Tracking prediction tracking correlation and tracking detection are used in the method for multiple maneuvering target tracking. Experimental results show that the method is convenient and effective.

为了提高足球机器人视觉系统的识别速度、精度和适应性,以航迹关联的基本技术为指导,结合足球和足球机器人的模型,提出基于航迹关联的半自主足球机器人视觉系统的一种改进方法,利用航迹预测、航迹关联和航迹检测对目标进行跟踪.实验表明该方法简单、有效,满足实时视觉系统的要求.

Robot soccer game is an interesting newly arisen artificial intelligence research field,it blends solid hour visual system,robot control,wireless communication,many robots control,and it provides practice platform for artifitial intelligence and intelligence control thory research.This paper analyses and compares two kinds of main work mode about robot soccer system,and discusses the mechanism of RoboCup simulation match.It has important meaning to the theoretical research in artificial intelligence of distribute...

Robot soccer game is an interesting newly arisen artificial intelligence research field,it blends solid hour visual system,robot control,wireless communication,many robots control,and it provides practice platform for artifitial intelligence and intelligence control thory research.This paper analyses and compares two kinds of main work mode about robot soccer system,and discusses the mechanism of RoboCup simulation match.It has important meaning to the theoretical research in artificial intelligence of distribute type.

机器人足球比赛是一个有趣且复杂的新兴人工智能研究领域,他融合了实时视觉系统、机器人控制、无线通讯、多机器人控制等多个领域的技术,为人工智能和智能控制的理论学习与研究及多种技术的集成应用提供了相当好的实验平台。对足球机器人系统的2种主要工作模式进行了比较和分析,并讨论了RoboCup仿真比赛的机制,对于分布式人工智能理论的研究具有重要意义。

In this paper,a novel thresholding algorithm is presented to achieve improved image segmentation performance at low computational cost.The proposed algorithm uses the normalized graph cut measure as the thresholding principle to distinguish an object from the background,as such fair treatment of different sets of diversified sizes is ensured.The weight matrices used in evaluating the graph cuts are based on the gray levels of an image,rather than the commonly used image pixels.For most images,the number of gray...

In this paper,a novel thresholding algorithm is presented to achieve improved image segmentation performance at low computational cost.The proposed algorithm uses the normalized graph cut measure as the thresholding principle to distinguish an object from the background,as such fair treatment of different sets of diversified sizes is ensured.The weight matrices used in evaluating the graph cuts are based on the gray levels of an image,rather than the commonly used image pixels.For most images,the number of gray levels is much smaller than the number of pixels.Therefore,the proposed algorithm occupies much smaller storage space and requires much lower computational costs and implementation complexity than other graph-based image segmentation algorithms.This fact makes the proposed algorithm attractive in various real-time vision applications such as automatic target recognition(ATR).A large number of examples are presented to show the superior performance of the proposed thresholding algorithm compared to existing thresholding algorithms.

提出了一种新的图像阈值分割方法,该方法采用图谱划分测度作为区分目标和背景的阈值分割准则.采用基于灰度级的权值矩阵来代替通常所用的基于图像像素的权值矩阵来描述图像各像素的关系,因而算法所需的存储空间及实现的复杂性与其他基于图论的图像分割方法相比大大减少,从而有利于应用在各种实时视觉系统(如自动目标识别,ATR).大量的实验结果表明:与现有的阈值分割方法相比,文中提出的方法具有更为优越的分割性能.

 
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