Combining multiple Large Volume Metrology systems: Competitive versus cooperative data fusion
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- 作者：Fiorenzo Franceschini ; fiorenzo.franceschini@polito.it" class="auth_mail" title="E-mail the corresponding author ; Maurizio Galetto maurizio.galetto@polito.it" class="auth_mail" title="E-mail the corresponding author ; Domenico Maisano domenico.maisano@polito.it" class="auth_mail" title="E-mail the corresponding author ; Luca Mastrogiacomo luca.mastrogiacomo@polito.it" class="auth_mail" title="E-mail the corresponding author
- 关键词：Cooperative fusion ; Competitive fusion ; Large Volume Metrology ; Large scale dimensional metrology ; Hybrid localization
- 刊名：Precision Engineering
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：43
- 期：Complete
- 页码：514-524
- 全文大小：1185 K
文摘
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We compare competitive and cooperative approaches for fusing metrology data in LVM.
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Cooperative approach uses angular and distance data measured by system's sensors.
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Competitive approach performs a weighted average of 3D positions by LVM systems.
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Cooperative approach shows a slightly better performance in particular conditions.