Data Fusion Based Multi-Sensor System for High Accuracy Forest Management(<Special Issue>Multipurpose Forest Management)
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概要
- 論文の詳細を見る
In order to meet the needs of society's increasing demands for forest products in the coming years, sustainable forestry must become more efficient. Therefore, we propose to bring aerial and terrestrial survey technologies into the forest, as well as virtual production strategies, which are well-established in manufacturing. Precise position information of forest work machines and individual trees are necessary for a highly accurate navigation in the forest. As GPS does not provide the required accuracy, especially under a closed canopy, we propose a new localization approach based on a multi-sensor system. The approach will help to preserve the forest health while raising efficiency and enables applications based on highly accurate position information. The first part of this article gives a review on common localization strategies. The next part introduces the components of the sensor system in detail. In the third part the underlying principles are clarified and examples are given of how these are applied to new applications in forestry. The results are evaluated and compared to conventional measurement techniques.
- 森林計画学会の論文
著者
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Schlette Christian
Institute Of Man-machine Interaction Rwth Aachen University
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Rossmann Juergen
Institute of Man-Machine Interaction RWTH Aachen University
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Schluse Michael
Institute of Man-Machine Interaction RWTH Aachen University
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Buecken Arno
Institute of Man-Machine Interaction RWTH Aachen University
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Krahwinkler Petra
Institute of Man-Machine Interaction RWTH Aachen University
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Emde Markus
Institute of Man-Machine Interaction RWTH Aachen University