Optimization of the Environment Map Building by Using the LabVIEW Virtual Instrument

碩士 === 逢甲大學 === 航太與系統工程所 === 98 === Geometric primitives-based map is broadly used for mobile robot navigation. This study used line segments as the basic features to build the environment map that focused on data point clustering and line segments extraction. A user-defined threshold value related...

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Main Authors: Yuan-Kang Huang, 黃源港
Other Authors: Chen-Hung Huang
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/29427321691820968605
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spelling ndltd-TW-098FCU052950122016-04-20T04:18:19Z http://ndltd.ncl.edu.tw/handle/29427321691820968605 Optimization of the Environment Map Building by Using the LabVIEW Virtual Instrument 應用LabVIEW虛擬儀控於環境地圖建立之最佳化 Yuan-Kang Huang 黃源港 碩士 逢甲大學 航太與系統工程所 98 Geometric primitives-based map is broadly used for mobile robot navigation. This study used line segments as the basic features to build the environment map that focused on data point clustering and line segments extraction. A user-defined threshold value related to the distance between two consecutive data points is used to clarify different clusters. However, one disadvantage of the existing clustering method is the lack of standardization for the selection of threshold values. Different threshold values are more likely to build different environment map on the same data points. A new approach for data point clustering is proposed to solve aforementioned problems. A laser range finder is used to gather the environment information. Subsequently, the experimental results are conducted through LabVIEW and MATLAB and show fair agreement with the actual environment. Chen-Hung Huang 黃振鴻 2010 學位論文 ; thesis 75 zh-TW
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language zh-TW
format Others
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description 碩士 === 逢甲大學 === 航太與系統工程所 === 98 === Geometric primitives-based map is broadly used for mobile robot navigation. This study used line segments as the basic features to build the environment map that focused on data point clustering and line segments extraction. A user-defined threshold value related to the distance between two consecutive data points is used to clarify different clusters. However, one disadvantage of the existing clustering method is the lack of standardization for the selection of threshold values. Different threshold values are more likely to build different environment map on the same data points. A new approach for data point clustering is proposed to solve aforementioned problems. A laser range finder is used to gather the environment information. Subsequently, the experimental results are conducted through LabVIEW and MATLAB and show fair agreement with the actual environment.
author2 Chen-Hung Huang
author_facet Chen-Hung Huang
Yuan-Kang Huang
黃源港
author Yuan-Kang Huang
黃源港
spellingShingle Yuan-Kang Huang
黃源港
Optimization of the Environment Map Building by Using the LabVIEW Virtual Instrument
author_sort Yuan-Kang Huang
title Optimization of the Environment Map Building by Using the LabVIEW Virtual Instrument
title_short Optimization of the Environment Map Building by Using the LabVIEW Virtual Instrument
title_full Optimization of the Environment Map Building by Using the LabVIEW Virtual Instrument
title_fullStr Optimization of the Environment Map Building by Using the LabVIEW Virtual Instrument
title_full_unstemmed Optimization of the Environment Map Building by Using the LabVIEW Virtual Instrument
title_sort optimization of the environment map building by using the labview virtual instrument
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/29427321691820968605
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