Method and apparatus for representing environmental elements, system, and vehicle/robot

US11216951B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11216951-B2
Application numberUS-201916693161-A
CountryUS
Kind codeB2
Filing dateNov 22, 2019
Priority dateMay 25, 2017
Publication dateJan 4, 2022
Grant dateJan 4, 2022

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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A computer-implemented method for representing environmental elements includes receiving scan data comprising at least a point cloud representing at least an environmental element from a sensor, segmenting the point cloud into point clusters, and partitioning the point clusters into hierarchical grids. The method also includes establishing a Gaussian distribution for points in each cell of each of the hierarchical grids, and constructing a Gaussian Mixture Model based on the Gaussian distribution for representing the environmental element.

First claim

Opening claim text (preview).

What is claimed is: 1. A computer-implemented method for representing environmental elements, comprising: receiving scan data comprising at least a point cloud representing at least an environmental element from a sensor; segmenting the point cloud into point clusters using a region growing algorithm with a predetermined criterion of smooth; partitioning the point clusters into hierarchical grids; establishing a Gaussian distribution for points in each cell of each of the hierarchical grids; and constructing a Gaussian Mixture Model based on the Gaussian distribution for representing the environmental element, wherein the predetermined criterion of smooth is derived by: for each point of the point cloud, getting its neighboring points; transforming the neighboring points into a local operation plane; for each point of the point cloud, calculating principal curvatures of the local surface; calculating surface curvature at one point of the point cloud to the direction of another point of the point cloud, surface curvature at the another point to the direction of the one point, and torsion of surface from the one point to the direction of the another point; and establishing the predetermined criterion of smooth as the absolute value of the surface curvature at the one point to the direction of the another point being smaller than a threshold, the absolute value of the surface curvature at the another point to the direction of the one point being smaller than a threshold, and the absolute value of the torsion of surface from the one point to the direction of the another point being smaller than a threshold, and wherein the surface curvature K ij at the one point to the direction of the another point G p j is denoted as: K ij = d ij T  d ij  ⁢ ( v i ⁢ ⁢ 1 v i ⁢ ⁢ 2 ) ⁢ H i ⁡ ( v i ⁢ ⁢ 1 v i ⁢ ⁢ 2 ) T ⁢ d ij  d ij  , the surface curvature K ji at the another point G p j to the direction of the one point G p i is denoted as K ji = d ij T  d ij  ⁢ ( v j ⁢ ⁢ 1 v j ⁢ ⁢ 2 ) ⁢ H j ⁡ ( v j ⁢ ⁢ 1 v

Assignees

Inventors

Classifications

  • G06T7/187Primary

    involving region growing; involving region merging; involving connected component labelling · CPC title

  • Three-dimensional [3D] objects · CPC title

  • Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads · CPC title

  • Graphical representations · CPC title

  • Terrestrial scenes (scenes under surveillance with static cameras G06V20/52; scenes perceived from the exterior of a vehicle G06V20/56; scenes perceived from the interior of a vehicle G06V20/59) · CPC title

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What does patent US11216951B2 cover?
A computer-implemented method for representing environmental elements includes receiving scan data comprising at least a point cloud representing at least an environmental element from a sensor, segmenting the point cloud into point clusters, and partitioning the point clusters into hierarchical grids. The method also includes establishing a Gaussian distribution for points in each cell of each…
Who is the assignee on this patent?
Bayerische Motoren Werke Ag
What technology area does this patent fall under?
Primary CPC classification G06T7/187. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 04 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).