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Description: 详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This
article presents a family of probabilistic localization algorithms known as Monte Carlo Localization
[MCL]. MCL algorithms represent a robot’s belief by a set of weighted hypotheses [samples],
which approximate the posterior under a common Bayesian formulation of the localization problem.
Building on the basic MCL algorithm, this article develops a more robust algorithm called Mixture-
MCL, which integrates two complimentary ways of generating samples in the estimation. To apply
this algorithm to mobile robots equipped with range finders, a kernel density tree is learned that
permits fast sampling. Systematic empirical results illustrate the robustness and computational
efficiency of the approach. 2001 Published by Elsevier Science B.V.
Keywords: Mobile robots Localization Position estimation Particle filters Kernel density trees
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Size: 1425408 |
Author: xuyuhua |
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Description: aoc.m 是用matlab实现蚁群算法ants_information.m蚁群算法中信息素的构建
mcl是马尔科夫聚类算法
nmf是矩阵的非负分解
Generative Topographic Mapping工具包-aoc.m is matlab implementation of ant colony algorithm ants_information.m pheromone ant colony algorithm is a Markov clustering algorithm to build mcl is nmf non-negative matrix decomposition of Generative Topographic Mapping Toolkit
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Size: 40960 |
Author: 颜利平 |
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Description: MCL 算法，Markov Clustring 算法-MCL algorithm
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Size: 665600 |
Author: luguiqiao |
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Description: 马尔科夫链算法,详细介绍马尔科夫链算法的设计与实现。-Detailed design and implementation of the Markov chain algorithm.
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Size: 807936 |
Author: 朱杰 |
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Description: 基于蒙特卡洛的的移动传感器节点定位算法仿真代码(Simulation of mobile sensor node localization algorithm based on Monte Carlo)
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Size: 6144 |
Author: baolulu
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