Description: 基于声纳信息的粒子滤波算法，可以利用声纳信息和不完全环境信息通过该算法完成机器人的自定位过程。本例是在原有基础上的改进。-Sonar-based particle filter information, can make use of sonar information and incomplete environmental information through the completion of the algorithm of robot self-localization process. The Example is based on the original improvements. Platform: |
Size: 87040 |
Author:刘先恩 |
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Description: 这是移动机器人同时定位与地图创建的第三部分，主要是关于信息滤波器的（Information filter）-This is a mobile robot localization and mapping at the same time to create the third part, focusing on the information filter (Information filter) Platform: |
Size: 1257472 |
Author:张才 |
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Description: 使用Extended Kalman Filter进行SLAM的新版本代码，主要用于机器人定位和地图自动绘制。-The New Version of SLAM code using Extended Kalman Filter, used in the field of robot localization and map building Platform: |
Size: 25600 |
Author:张留 |
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Description: 使用Unscented Kalman Filter进行SLAM，主要用于机器人定位和地图自动绘制，UKF的效果要优于EKF，当然计算量也大些。-The Matlab code for SLAM using Unscented Kalman Filter, mainly used for robot localization and map building Platform: |
Size: 10240 |
Author:张留 |
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Description: 数字图像的边缘检测
本科毕业设计（边缘检测是数字图像处理中的重要内容。本文首先对图像的边缘检测的各种算法和算子做了总结和分析。Canny最早提出了边缘检测的三条连续准则:最优检测结果、最优定位和低重复响应,并在这些准则的基础上得到了“最优线性滤波器”―高斯函数的一阶导数。经过十几年的发展,目前已经有了对这个准则的很多改进,本文也对这个方面的工作做了小结。Demigny在理论分析和实践的基础上给出了边缘检测的离散准则,并且证明在离散准则中Canny提出的第三个准则可以被阀值操作所取代。本文利用了数值方法求出了Demigny离散准则下阶梯形边缘检测的最优线性滤波器和对应着它的平滑算子。利用这个算子和Canny边缘检测方法得到了一个完整的边缘检测算法并用VC++实现了这种算法.从算法对大量图像边缘检测的结果来看,这种算法虽然简单但是效果很好,是边缘检测的一种很好的实用方法。-Edge detection is important in image procession. This paper made a summary and analysis of edge detecting algorithm and edge detector. Canny has proposed three continuous criteria to compare the performance of different filters: good detection, good localization and low-responses. Based on these criteria he got optimal filter for edge detection: derivative of Gaussian function. After more than ten years research, Canny’s theory has been ameliorated in many aspects, this paper also made a review of it. Based on the practice and theory. Demigny gave three discrete criteria for edge detection like Canny’s criteria and he has proofed that the third criterion can be replaced by an appropriate thresholding operation. This paper used numerical method to get the optimal filter and smooth operator under the Demigny’s criteria. Then I combine these filters and Canny’s edge detecting technique to get an integrated edge detecting algorithm. I have implemented the algorithm using VC++. From the res Platform: |
Size: 1397760 |
Author:swx |
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Description: 采用滤波器组，将盲分离与声源定位结合在一起。滤波器组中分别进行子带处理，并且在每个子带中进行声源定位，最后综合所有子带估计的方向得到多个声源的方位信息，同时将声源信息作为ICA分析的约束条件，可以在色噪声及多得到更好的盲分离效果。其优势在于用滤波器组进行多次的估计声源方向，再加以合适的权值均衡后即可得到更优的估计。-The use of filters will be blind source separation and sound localization together. Filter group were sub-band treatment, and in each sub-band in Sound Source Localization, and finally all the sub-band is estimated to be more than the direction of sound source location information, as well as sound source information as ICA analysis of the binding conditions, colored noise can be better and many of the blind source separation effect. Its advantage lies in a number of filter banks with estimated sound source direction, coupled with an appropriate balance weights can be obtained after the better estimate. Platform: |
Size: 462848 |
Author:chen |
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Description: 粒子滤波，这个里面包含了相关发表的文章，ｐｐｔ ，简介等。还有ｍａｔｌａｂ 代码，（ｕｐｆ，ｕｋｆ）。这是０８年１月在我校开的第一届科学会议时，一个教授给的！比较全面，网站上的都很零碎！所以发一下-the relative materials about parice-filter theory. It includes the paper ,PPt ,and review .Also the matlab code(upf ,ukf).It is more detailed! Platform: |
Size: 3724288 |
Author:齐小伟 |
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Description: 通过WiFi信号的测量进行粒子滤波定位机器人 Particle filter for robot localization using WiFi measurements Matlab R2007b, Image Processing Toolbox 这个Matlab程序展示通过粒子滤波进行机器人的跟踪-WiFi signal measurement through the particle filter for robot positioning Particle filter for robot localization using WiFi measurements Matlab R2007b, Image Processing Toolbox of the Matlab program to demonstrate the robot through the particle filter tracking Platform: |
Size: 192512 |
Author:ice |
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Description: 基于卡尔曼滤波的机器人定位及地图创建（salm），对1D、2D、3D等情况分别进行仿真-Kalman filter-based robot localization and map building (salm), on the 1D, 2D, 3D, etc. were simulated Platform: |
Size: 34816 |
Author:姜虎 |
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Description: We are researching robot localization techniques which fuse dead reckoning measurements with range measurements from stationary radio beacons in the robot s environment.
This site provides Matlab code for three algorithms explored thus far -- an Extended Kalman Filter, a Particle Filter, and a Sliding Batch method -- as well as .mat files containing data collected from a robot driving and receiving range measurements over different paths. Two such data sets are provided.
Platform: |
Size: 7168 |
Author:niloofar |
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Description: 对室内的行人定位跟踪算法进行研究：包括基于RSS的KNN室内定位算法、基于RSS的卡尔曼滤波算法、融合RSS和DR的粒子滤波算法
等。-indoor pedestrian position tracking algorithm is studied, such as the KNN localization algorithm based on the RSS, the kalman filter algorithe based on the RSSthe particle filter algorithm which is fusion of RSS DR and Map information. Platform: |
Size: 5120 |
Author:yang |
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Description: 机器人足球赛，人形机器人在足球场的定位问题。采用粒子滤波方法，此为模拟的文件。-Robot soccer, humanoid robot localization problem in football. Using particle filter, this is the simulation of the file. Platform: |
Size: 6144 |
Author:贾子枫 |
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Search - localization filter