文件名称:sanweichangjingchonggou
- 所属分类:
- 人工智能/神经网络/遗传算法
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- 上传时间:
- 2012-11-26
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- 6.03mb
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- han***
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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
的探索与研究。
-Mobile Robot effective recognition of their work environment, perception and reconstruction, is the autonomous navigation and environment-based exploration
Foundation and prerequisite conditions. Unstructured environment for the realization of three-dimensional scene reconstruction, this paper, autonomous mobile robot platform structure
Built a three-dimensional laser ranging system, designed and developed three-dimensional scene reconstruction software ICP-based operator segment endpoint
Method to achieve fast and accurate under different point of view scene matching proposed based on multi-core scene scene reconstruction strategy, and
Classification method using grid overlap region data reduction in order to achieve large-scale three-dimensional scene reconstruction. Based on the
Algorithm comparison and analysis of experimental data to try to reconstruct three-dimensional scene on the unstructured environment, the issue of innovative
Exploration and Research.
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
的探索与研究。
-Mobile Robot effective recognition of their work environment, perception and reconstruction, is the autonomous navigation and environment-based exploration
Foundation and prerequisite conditions. Unstructured environment for the realization of three-dimensional scene reconstruction, this paper, autonomous mobile robot platform structure
Built a three-dimensional laser ranging system, designed and developed three-dimensional scene reconstruction software ICP-based operator segment endpoint
Method to achieve fast and accurate under different point of view scene matching proposed based on multi-core scene scene reconstruction strategy, and
Classification method using grid overlap region data reduction in order to achieve large-scale three-dimensional scene reconstruction. Based on the
Algorithm comparison and analysis of experimental data to try to reconstruct three-dimensional scene on the unstructured environment, the issue of innovative
Exploration and Research.
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移动机器人基于激光测距的三维场景重构.nh