图像匹配算法在有机农业杂草控制中的应用

S. Hussmann, Yuheng Wang, V. Czymmek, F. Knoll
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引用次数: 0

摘要

一般来说,杂草控制机器人系统包括杂草分类和杂草清除单元。这两个单元在机器人内部是相互分离的。因此,除草分类单位不能检查除草结果。因此,在有机农业中,用机器人系统清除杂草的重要一步是跟踪分类杂草的位置。本文利用低分辨率VGA摄像机和开发的匹配算法实现了跟踪。跟踪是必要的,因为机器人的位置可能会因其路径上的石头或其他障碍物而移动。此外,机器人的速度变化也会导致杂草破坏问题。仿真和实验结果验证了该算法的有效性。
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Image matching algorithm for weed control applications in organic farming
In general a weed control robot system comprises a weed classification and a weed destruction unit. Both unit are physically separated from each other inside the robot. For that reason the weed classification unit cannot inspect the weed destruction result. Hence an important step for the destruction of weed in organic farming with a robot system is the tracking of classified weed positions. In this paper the tracking is realized with a low-resolution VGA camera and a developed matching algorithm. The tracking is necessary as the robot position can move due to stones or other obstacles on its path. Also speed changes of the robot lead to weed destruction problems. The performance of the proposed image matching algorithm is illustrated by simulation and experimental results.
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