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Analysis of Straw Row in the Image to Control the Trajectory of the Agricultural Combine Harvester

机译:分析图像中的稻草行以控制农用联合收割机的运行轨迹

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The paper proposes a solution to the automatic operation of the combine harvester along the straw rows by means of the images from the camera, installed in the cab of the harvester. The U-Net is used to recognize straw rows in the image. The edges of the row are approximated in the segmented image by the curved lines and further converted into the harvester coordinate system for the automatic operating system. The "new" network architecture and approaches to the row approximation has improved the quality of the recognition task and the processing speed of the frames up to 96% and 7.5 fps, respectively.
机译:本文提出了一种解决方案,即通过安装在收割机驾驶室中的摄像机的图像,使联合收割机沿着稻草排自动运行。 U-Net用于识别图像中的稻草行。行的边缘在分割的图像中通过曲线近似,并进一步转换为自动操作系统的收割机坐标系。 “新”网络体系结构和行逼近方法分别将识别任务的质量和帧的处理速度分别提高了96%和7.5 fps。

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