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视觉测距
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  vision ranging
     The Error Analysis of Binocular Vision Ranging Method Based on the Coordinate Measuring Machine
     基于坐标测量机的双目视觉测距误差分析
短句来源
     The principle of both traditional ranging with baseline and binocular vision ranging utilizing CCD devices is expounded,the responding ranging errors are discussed,the proof of the binocular vision ranging utilizing CCD technique can be used for short baseline single observer IR passive ranging is demonstrated in term of theory.
     文中论述了传统的基线测距、双目视觉测距的原理 ,讨论了有关误差 ,从理论上论证了双目视觉测距系统可用于短基线红外被动测距技术。
短句来源
  “视觉测距”译为未确定词的双语例句
     Realization of Real-time Image Process Algorithm in Vision Telemeter System
     视觉测距系统中实时图像处理算法的实现
短句来源
     At the end of this paper, we discuss the basic method and typical technology of the camera demarcation technology and the machine vision range finding.
     论文论述了摄像机标定技术和计算机视觉测距的基本方法与典型技术。
短句来源
     Visual ranging based on computer vision is very promising in this field.
     基于计算机视觉理论的视觉测距技术是目前该领域内一个很有价值的研究方向。
短句来源
     Monocular vision measuring methods are demonstrated in this paper,and the measurement method of the distance between mobile robot and the objectpoint was deduced according to the principle of pinhole imaging and geometrycoordinate transformation.
     对单目视觉测距方法进行了研究、分析,并根据针孔成像和几何坐标变换原理,对移动机器人与目标点间距离的检测方法进行了推导,并拍摄多幅真实图像进行验证。
短句来源
     After that, according to the vision range finding principle, we design monocular vision range detection method for highway based on the theory of lane rebuilding and clairvoyance projection.
     基于视觉测距原理,在分道线重建和透视投影原理的理论基础上,建立了一种针对高速公路的单目视觉距离测量方法。
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  相似匹配句对
     Vision
     视觉
短句来源
     Visual ranging experimental study on crop acreage estimation
     作物面积获取的视觉测距建模
短句来源
     Range Sensing Technique by Moire Contour Mapping for 3-D Vision
     应用莫尔等高线测距的三维视觉
短句来源
     Beyond Vision
     视觉之上
短句来源
     Displayer for laser rangefinder
     激光测距显示仪
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  vision measurement
In general, machine vision measurement errors include image system errors and measuring platform errors.
      


The principle of both traditional ranging with baseline and binocular vision ranging utilizing CCD devices is expounded,the responding ranging errors are discussed,the proof of the binocular vision ranging utilizing CCD technique can be used for short baseline single observer IR passive ranging is demonstrated in term of theory.At last, it is illustrated with a real system and with emphasis on some skills of it.

文中论述了传统的基线测距、双目视觉测距的原理 ,讨论了有关误差 ,从理论上论证了双目视觉测距系统可用于短基线红外被动测距技术。最后 ,结合实例系统做了说明

The realization techniques and current development of vision sensing system of agricultural robot are discussed, which include techniques of distance inspection, characteristic recognition of agricultural production and movement navigation of agricultural robot based on vision sensing. The distance inspection method based on binocular telemeter was used for picking grape or tomato by robots. The distance inspection systems with laser or infrared beam lights were proved which can help to counteract disturbance...

The realization techniques and current development of vision sensing system of agricultural robot are discussed, which include techniques of distance inspection, characteristic recognition of agricultural production and movement navigation of agricultural robot based on vision sensing. The distance inspection method based on binocular telemeter was used for picking grape or tomato by robots. The distance inspection systems with laser or infrared beam lights were proved which can help to counteract disturbance of sunlight and obtain accurate results. The geometrical shape, gray level, color, and reflected spectrum especially of farm production, can be used for agricultural robots to recognize the operated objects. The navigation method based on artificial guide line is a simple one for agricultural robot navigation, and the array characteristics of plant are also used for agricultural robot navigation. The future development trend of vision sensing system of agricultural robot is also discussed.

论述了农业机器人视觉传感系统的主要实现技术和当前的应用现状 ,包括基于视觉传感原理的距离检测技术 ,基于视觉传感原理的工作对象特征识别技术和基于视觉传感原理的运动导航技术。基于双目立体视觉的测距方法可应用于葡萄和番茄采摘机器人 ,配备激光光源和红外光源的测距系统可在室外有效抵抗日光变化对检测结果的影响。几何形状、灰度级、颜色 ,尤其是农产品表面的反射光谱特性 ,可以用于农业机器人识别操作对象。人工路标方法是实现农业机器人视觉导航的简单方法 ,另外 ,直接基于田间作物在空间排列的特征也可实现农业机器人的视觉导航。最后讨论了农业机器人视觉传感系统的未来发展趋势。

Crops acreage estimating is the fundamental work for government's agricultural information monitoring on a national scale.Measuring with onboard estimation system is one of the approaches to perform ground truthing.In this article the authors propose a system,namely Categorized Crops Acreage Onboard Estimation System(CAOES) Based on Image Identification System,CAOES for short,and analyze its principle and configuration.Then the authors give the vision measuring model for acreage estimating and its precision...

Crops acreage estimating is the fundamental work for government's agricultural information monitoring on a national scale.Measuring with onboard estimation system is one of the approaches to perform ground truthing.In this article the authors propose a system,namely Categorized Crops Acreage Onboard Estimation System(CAOES) Based on Image Identification System,CAOES for short,and analyze its principle and configuration.Then the authors give the vision measuring model for acreage estimating and its precision evaluating.The test results indicate: 1)FA lens with 8mm fixed focus reach a balance between the two demands of vertical visual field and image detail;.2) with the software,the aperture and exposure index can be self-adapting to the natural light to meet the demands of image analysis ;3) the experiential model has bigger correlation coefficient and more steady predicted value than quadratic polynomial model;4) this system may be more laborsaving,impersonal and in time.

获取作物种植面积是农情监测的主要工作。车载系统进行作物面积测算是作物面积抽样调查的方法之一。文章提出了一种基于图像识别的作物分类种植面积车载测算系统CAOES(C rop A creage O nboard E stim ation System),分析了其原理与组成,并进行了系统面积测算的视觉测距模型的推导和试验验证。试验验证结果表明:1)镜头焦距定为8 mm能够兼顾纵向视野和图像细节两方面的要求;2)光圈和曝光系数通过软件自适应调节可以满足图像分析需求;3)经验测距模型较之二次多项式回归模型相关系数更大,预测更稳定;4)该系统用于作物面积抽样调查可进一步降低野外调查结束后的工作量,并最大限度地减少人为因素的影响,提高调查的客观性和时效性。

 
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