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Excavator intelligent control method, device and equipment, storage medium and excavator
The invention discloses an excavator intelligent control method, device and equipment, a storage medium and an excavator, and relates to the technical field of artificial intelligence, excavators, computer vision and the like. The excavator intelligent control method comprises the steps: acquiring an operation area image shot by a binocular camera, wherein the operation area image comprises a two-dimensional image and a depth map corresponding to the two-dimensional image; performing image semantic recognition on the two-dimensional image, and if the result of the image semantic recognition is that the stone exists in the two-dimensional image, performing image instance segmentation on the two-dimensional image so as to mark the stone meeting a predetermined condition in the two-dimensional image; calculating the spatial position of the stone meeting the preset condition based on the mark of the stone meeting the preset condition, the depth map data corresponding to the two-dimensional image and the calibration parameter of the binocular camera; and determining the operation mode of the excavator according to the spatial positions of the stones meeting the preset conditions.
本申请公开了一种挖掘机智能控制方法、装置、设备、存储介质及挖掘机,涉及人工智能、挖掘机、计算机视觉等技术领域。该挖掘机智能控制方法包括:获取双目相机拍摄的作业区域图像,所述作业区域图像包括二维图像以及与所述二维图像对应的深度图;对所述二维图像进行图像语义识别,如果图像语义识别的结果为所述二维图像中存在石块,则对所述二维图像进行图像实例分割,以将所述二维图像中符合预定条件的石块进行标记;基于所述符合预定条件的石块的标记、所述二维图像对应的深度图数据以及所述双目相机的标定参数,计算所述符合预定条件的石块的空间位置;根据所述符合预定条件的石块的空间位置,确定所述挖掘机的作业方式。
Excavator intelligent control method, device and equipment, storage medium and excavator
The invention discloses an excavator intelligent control method, device and equipment, a storage medium and an excavator, and relates to the technical field of artificial intelligence, excavators, computer vision and the like. The excavator intelligent control method comprises the steps: acquiring an operation area image shot by a binocular camera, wherein the operation area image comprises a two-dimensional image and a depth map corresponding to the two-dimensional image; performing image semantic recognition on the two-dimensional image, and if the result of the image semantic recognition is that the stone exists in the two-dimensional image, performing image instance segmentation on the two-dimensional image so as to mark the stone meeting a predetermined condition in the two-dimensional image; calculating the spatial position of the stone meeting the preset condition based on the mark of the stone meeting the preset condition, the depth map data corresponding to the two-dimensional image and the calibration parameter of the binocular camera; and determining the operation mode of the excavator according to the spatial positions of the stones meeting the preset conditions.
本申请公开了一种挖掘机智能控制方法、装置、设备、存储介质及挖掘机,涉及人工智能、挖掘机、计算机视觉等技术领域。该挖掘机智能控制方法包括:获取双目相机拍摄的作业区域图像,所述作业区域图像包括二维图像以及与所述二维图像对应的深度图;对所述二维图像进行图像语义识别,如果图像语义识别的结果为所述二维图像中存在石块,则对所述二维图像进行图像实例分割,以将所述二维图像中符合预定条件的石块进行标记;基于所述符合预定条件的石块的标记、所述二维图像对应的深度图数据以及所述双目相机的标定参数,计算所述符合预定条件的石块的空间位置;根据所述符合预定条件的石块的空间位置,确定所述挖掘机的作业方式。
Excavator intelligent control method, device and equipment, storage medium and excavator
挖掘机智能控制方法、装置、设备、存储介质和挖掘机
LU FEIXIANG (Autor:in) / ZHANG LIANGJUN (Autor:in) / LIU ZONGDAI (Autor:in)
13.04.2021
Patent
Elektronische Ressource
Chinesisch
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