Methods and systems for processing point-cloud data with a line scanner
First Claim
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1. A method comprising:
- receiving a 3D point cloud that is representative of a freight-moving vehicle having loaded freight;
using at least one line scanner that is oriented to scan in a vertical plane and positioned to identify a lower bound of the loaded freight; and
dimensioning the loaded freight based on points in the point cloud, wherein each of the points in the point cloud that are used for dimensioning the loaded freight is at or above the identified lower bound.
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Abstract
Described herein are methods and systems for processing point-cloud data with a line scanner. One embodiment takes the form of a method that includes: receiving a 3D point cloud that is representative of an object; using one or more line scanners to identify one or more respective outer bounds of the object; and dimensioning the object based on points in the point cloud, wherein each of the points in the point cloud that are used for dimensioning the object is at or inside every identified outer bound.
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Citations
20 Claims
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1. A method comprising:
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receiving a 3D point cloud that is representative of a freight-moving vehicle having loaded freight; using at least one line scanner that is oriented to scan in a vertical plane and positioned to identify a lower bound of the loaded freight; and dimensioning the loaded freight based on points in the point cloud, wherein each of the points in the point cloud that are used for dimensioning the loaded freight is at or above the identified lower bound. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A system comprising:
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at least one depth sensor configured to obtain a 3D point cloud that is representative of a freight-moving vehicle having loaded freight; at least one line scanner oriented to scan in a vertical plane and positioned to identify a lower bound of the loaded freight; and a freight-dimensioning module configured to dimension the loaded freight based on points in the point cloud, wherein each of the points in the point cloud that are used for dimensioning the loaded freight is at or above the identified lower bound.
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20. A method comprising:
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receiving a 3D point cloud that is representative of an object; using one or more line scanners positioned to identify one or more respective outer bounds of the object, including a lower bound of the object; and dimensioning the object based on points in the point cloud, wherein each of the points in the point cloud that are used for dimensioning the object is at or inside every identified outer bound.
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Specification