Three-dimensional point cloud labeling method, device, equipment and storage medium

A three-dimensional point cloud and three-dimensional labeling technology, applied in the field of artificial intelligence, can solve the problems of cumbersome labeling operations and low labeling efficiency, and achieve the effect of improving labeling efficiency, saving labor costs and time overhead, and facilitating labeling

Pending Publication Date: 2020-04-24
SUZHOU ZHIJIA SCI & TECH CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a method, device, device, and storage medium for labeling 3D point clouds, which can solve the problems of cumbersome labeling operations and low labeling efficiency in related technologies

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  • Three-dimensional point cloud labeling method, device, equipment and storage medium
  • Three-dimensional point cloud labeling method, device, equipment and storage medium
  • Three-dimensional point cloud labeling method, device, equipment and storage medium

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Embodiment Construction

[0071] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0072] The term "and / or" in this application is only an association relationship describing associated objects, which means that there may be three relationships, for example, A and / or B, which may mean: A exists alone, A and B exist simultaneously, and A and B exist alone. There are three cases of B. In addition, the character " / " in this application generally indicates that the contextual objects are an "or" relationship.

[0073] The term "multiple" in this app...

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Abstract

The invention discloses a three-dimensional point cloud labeling method, a device, equipment and a storage medium, and belongs to the technical field of artificial intelligence. According to the quickthree-dimensional point cloud labeling method provided by the embodiment of the invention, the three-dimensional point clouds are displayed in the three-dimensional scene, and the three-dimensional point clouds are selected and labeled by utilizing the detected contour selection operation, so that a labeling person draws the contours of the objects in the three-dimensional scene, and the three-dimensional scene can automatically select the three-dimensional point clouds needing to be labeled. Thus, the tedious process that a labeler triggers selection operation on each point in the point cloud one by one is omitted, so that the labor cost and time expenditure for labeling the three-dimensional point cloud are saved, and the labeling efficiency of the three-dimensional point cloud is improved. Moreover, since the three-dimensional point clouds are displayed in the same three-dimensional scene, the spatial position relationship among different points in the three-dimensional point clouds can be intuitively reflected by utilizing the three-dimensional space provided by the three-dimensional scene, so that a labeler can label conveniently.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a method, device, equipment and storage medium for marking three-dimensional point clouds. Background technique [0002] A 3D point cloud refers to data recorded in the form of one or more points. Each point in the 3D point cloud has a 3D coordinate, and the position of the point in the 3D space can be represented by the 3D coordinate. In artificial intelligence technology and automatic driving technology, in order to enable the car to detect the category of objects in the surrounding environment in real time, the 3D point cloud in the 3D point cloud dataset is usually marked in advance, and the model is made using the marked 3D point cloud. Training, so that the car can use the trained model to make predictions from the 3D point cloud collected in real time during the actual driving process, so as to perceive the environment in which it is located....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06F3/0484
CPCG06F3/04845G06F2203/04806G06V20/647G06V20/56
Inventor 黄淋淋李景才王秀峰侯广大刘晨楠方啸
Owner SUZHOU ZHIJIA SCI & TECH CO LTD
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