Generation and application of masks for farming implements of autonomous vehicles

An autonomous farming machine comprising:

• one or more processors physically attached to the autonomous farming machine;
• and
• a non-transitory computer readable storage medium storing computer program instructions that, when executed by the one or more processors, cause the one or more processors to:
• access a first set of images corresponding to a farming implement of the autonomous farming machine, each image in the first set of images comprising pixels of the farming implement and a surrounding environment;
• generate a pixel mask for the farming implement based on the first set of images, the generation comprising:
• accessing a digital model of the farming implement present in the first set of images,
• generating the pixel mask using the digital model of the farming implement, and
• wherein the pixel mask configured to ignore pixels of the farming implement in images to which the pixel mask is applied;
• access a second set of images corresponding to the farming implement and the surrounding environment;
• generate a masked set of images from the second set of images by applying the pixel mask to the second set of images to ignore the pixels of the farming implement in the second set of images;
• and
• perform, using the autonomous farming machine, a farming action based on the masked set of images.

A non-transitory computer readable storage medium storing computer program instructions that, when executed by one or more processors, cause the one or more processors to:

• access a first set of images corresponding to a farming implement of an autonomous farming machine, each image in the first set of images comprising pixels of the farming implement and a surrounding environment;
• generate a pixel mask for the farming implement based on the first set of images, the generation comprising:
• accessing a digital model of the farming implement present in the first set of images,
• generating the pixel mask using the digital model of the farming implement, and
• wherein the pixel mask configured to ignore pixels of the farming implement in images to which the pixel mask is applied;
• access a second set of images corresponding to the farming implement and the surrounding environment;
• generate a masked set of images from the second set of images by applying the pixel mask to the second set of images to ignore the pixels of the farming implement in the second set of images;
• and
• perform, using the autonomous farming machine, a farming action based on the masked set of images.