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室内移动机器人定位与导航关键技术研究,新思路-Indoor mobile robot localization and navigation key technology research and new ideas
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一篇应用卡尔曼滤波和粒子滤波进行移动机器人室外定位的博士论文-A PhD Thesis Mobile Robot Localisation and Mapping in Extensive Outdoor
Environments Utilizing Kalman Filter and Particle Filter
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该PDF论文为TimBailey所著，为其博士论文，详细介绍了EKFSLAM，FASTSLAM1.0，FASTSLAM2.0的相同点和不同点以及优劣。-This thesis addresses the issues of scale for practical implementations of simultaneous localisation
and mapping [SLAM] in extensive outdoor environments. Building an incre
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利用全方位视觉对机器人在移动中导航。提供全方位的视觉信息。-The use of omnidirectional vision for mobile robot navigation. Provide a full range of visual information.
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基于粒子滤波算法的移动机器人导航定位研究的硕士论文-Based on particle filter for mobile robot navigation research master' s thesis
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移动机器人导航的发展趋势，权威人士编写，很有指导意义-Vision for Mobile Robot Navigation：A Survey
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移动机器人对其工作环境的有效辨识、感知与重构，是其自主导航与环境探索的基
础和前提条件。为实现非结构化环境的三维场景重构，本文在自主移动机器人平台上构
建了三维激光测距系统，设计和开发了三维场景重构软件 采用基于线段端点的ICP算
法准确快速的实现不同视点下的场景匹配 提出了基于核心场景的多场景重构策略，并
采用栅格划分法对重合区域进行数据精简，从而实现大范围三维场景重构。本文通过对
算法的实现和实验数据的比较分析，尝试对非结构化环境三维场景重构问题进行创新性
的探索与研
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超声导航移动机器人系统设计及模糊避障技术研究，讲述怎么用超声导航避障-Ultrasound navigation system design and fuzzy mobile robot obstacle avoidance technology research, about how to use ultrasound navigation obstacle avoidance
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基于模糊神经网络的多传感器信息融合，提出了一种简单、有效的分区算法来确定障碍物的距离和方位。采用BP神经网络对障碍物环境进行分类以及模式识别，为移动机器人的导航和避障提供了一种有效的方法。-Fuzzy neural network based multi-sensor information fusion, we propose a simple and effective algorithm to determine the partition barrier distance and dir
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发表在SCI上的关于在未知动态环境下，移动机器人导航的新算法-Published in SCI, the new algorithm for mobile robot navigation in unknown dynamic environment
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A Fuzzy Navigation toolbox for a Mobile Robot with Dynamic Obstacles
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3D Graphics - line plot
Dr. P.Venkataraman
The path traced by a particle in 3D space
Example:
arrow3D([0,0,0], [4,3,7]) ---- arrow with default parameters
axis equal
Author: Shawn Arseneau
function [x,y] = checking(A,a,b,X,
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此程序为基于扩展卡尔曼滤波的移动机器人的组合导航程序，移动机器人的传感器包括stero vision和encoder-This program is based on the extended Kalman filter for mobile robot navigation procedures, including mobile robot stero vision sensor and encoder
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Maps for mobile robot navigation and D star algorithm.
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Astatre algorithm for navigation mobile robot. this algorithm is suitable and efficient for tracking path. -Astatre algorithm for navigation mobile robot. this algorithm is suitable and efficient for tracking path.
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Mobile robot localization sample code with Extended Kalman Filter (EKF). This code is useful for mobile robot navigation is performed using a Kalman filter.
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Mobile robot localization sample code with Extended Kalman Filter (EKF). This code is useful for mobile robot navigation is performed using a Kalman filter.
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基于视觉信息的移动机器人同步地图创建与定位(vSLAM)问题是机器人自主导航技术的关键，已经成为自主移动机器人面临的重要基础性难题。-Mobile robot based on visual information synchronized map building and localization (vSLAM) is the key autonomous navigation technology has become an important autonomous mobile robot
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With mobile robot being applied to military area、manufacturing and daily llife
etc，it is an active and promising research area and attracts much more attention．
Mobile robot’S localization and navigation based on stereo vision is becoming one of
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超声波测距传感器KS103的STM32测试程序，在红牛板上已经测试过，该传感器主要用在移动机器人避障和导航上。(Ultrasonic ranging sensor KS103 STM32 test program, has been tested on the Red Bull board, the sensor is mainly used in mobile robot obstacle avoidance and navigation.)
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