Transport object specifying device of work machine, work machine, transport object specifying method of work machine, method for producing complementary model, and dataset for learning
Abstract
A transport object specifying device of a work machine includes an image acquisition unit, a drop target specifying unit, a three-dimensional data generation unit, and a surface specifying unit. The image acquisition unit acquires a captured image showing a drop target of the work machine in which a transport object is dropped. The drop target specifying unit specifies a three-dimensional position of at least part of the drop target based on the captured image. The three-dimensional data generation unit generates depth data, which is three-dimensional data representing a depth of the captured image, based on the captured image. The surface specifying unit specifies a three-dimensional position of a surface of the transport object in the drop target by removing, from the depth data, a part corresponding to the drop target based on the three-dimensional position of the at least part of the drop target.
Claims
exact text as granted — not AI-modified1 . A transport object specifying device of a work machine, the transport object specifying device comprising:
an image acquisition unit that acquires a captured image showing a drop target of the work machine in which a transport object is dropped; a drop target specifying unit that specifies a three-dimensional position of at least part of the drop target based on the captured image; a three-dimensional data generation unit that generates depth data, which is three-dimensional data representing a depth of the captured image, based on the captured image; and a surface specifying unit that specifies a three-dimensional position of a surface of the transport object in the drop target by removing, from the depth data, a part corresponding to the drop target based on the three-dimensional position of the at least part of the drop target.
2 . The transport object specifying device according to claim 1 , further comprising:
a feature point specifying unit that specifies a position of a feature point of the drop target based on the captured image, the drop target specifying unit specifying the three-dimensional position of the at least part of the drop target based on the position of the feature point.
3 . The transport object specifying device according to claim 1 , wherein
the drop target specifying unit specifies the three-dimensional position of the at least part of the drop target based on the captured image and a target model, which is a three-dimensional model indicating a shape of the drop target.
4 . The transport object specifying device according to claim 1 , wherein
the surface specifying unit
extracts, from the depth data, a three-dimensional position in a prismatic area which, is surrounded by a wall portion of the drop target and extends in a height direction of the wall portion, and
removes the part corresponding to the drop target in the extracted three-dimensional position to specify the three-dimensional position of the surface of the transport object.
5 . The transport object specifying device according to claim 1 , further comprising:
a distribution specifying unit that generates distribution information indicating a distribution of an amount of the transport object in the drop target based on
the three-dimensional position of the surface of the transport object in the drop target and
the three-dimensional position of the at least part of the drop target.
6 . The transport object specifying device according to claim 5 , further comprising:
a distribution estimation unit that estimates a distribution of an amount of the transport object in a shielded part of the distribution information shielded by an obstacle.
7 . The transport object specifying device according to claim 6 , wherein
the distribution estimation unit inputs the distribution information generated by the distribution specifying unit to a complementary model to generate distribution information that complements a value of the shielded part, and the complementary model is a trained model, which, when distribution information with some missing values is input, outputs distribution information that complements the missing values.
8 . The transport object specifying device according to claim 6 , wherein
the distribution estimation unit generates distribution information that complements a value of the shielded part based on a rate of change or a pattern of change in a three-dimensional position of the transport object near the shielded part.
9 . The transport object specifying device according to claim 6 , wherein
the distribution estimation unit estimates a distribution of an amount of the transport object in the shielded part based on a type of the transport object.
10 . The transport object specifying device according to claim 1 , wherein
the captured image is a stereo image including at least a first image and a second image captured by a stereo camera.
11 . A work machine including the transport object specifying device according to claim 1 , the work machine further comprising:
work equipment usable to transport the transport object; an imaging device; and a display device that displays information about the transport object in the drop target specified by the transport object specifying device.
12 . A transport object specifying method of a work machine, comprising:
acquiring a captured image showing a drop target of the work machine in which a transport object is dropped; specifying a three-dimensional position of at least part of the drop target based on the captured image; generating depth data, which is three-dimensional data representing a depth of the captured image, based on the captured image; and removing, from the depth data, a part corresponding to the drop target based on the three-dimensional position of the at least part of the drop target to specify a three-dimensional position of a surface of the transport object in the drop target.
13 . A method for producing a complementary model, which, when distribution information with some missing values is input, outputs distribution information that complements the missing values, the method comprising:
acquiring distribution information indicating a distribution of an amount of a transport object in a drop target of a work machine and incomplete distribution information in which some values of the distribution information are missing, as a dataset for learning; and training the complementary model using the dataset for learning such that when the incomplete distribution information is used as an input value, the distribution information becomes an output value.
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