Point cloud classification method and device

A classification method and a classification device technology, applied in the computer field, can solve problems such as misidentification, low accuracy, and sparse spatial distribution of point cloud data.

Active Publication Date: 2017-11-03
SUTENG INNOVATION TECH CO LTD
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Problems solved by technology

Most of the existing point cloud classification and recognition methods are based on the static features of the target for classification and recognition, but when the amount of point cloud data obtained from the target is small, the accuracy of this method is not high, and there will be misidentification, especially When the distance between the target and the lidar is long, the acquired point cloud data is relatively sparse in space, and point cloud classification will become more difficult.
[0004] It can be seen that the accuracy of the point cloud classification method in the prior art is low

Method used

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  • Point cloud classification method and device

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Embodiment Construction

[0050] The following embodiments of the present invention provide a point cloud classification method, which can improve the accuracy of point cloud classification.

[0051] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0052] figure 1 Shown is the flow chart of the point cloud classification method of the embodiment of the present invention, as figure 1 As shown, the method includes:

[0053] Step 110, obtaining multiple target obstacle blocks according to the original laser point cloud;

[0054] Step 120, obtainin...

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Abstract

The embodiment of the invention discloses a point cloud classification method and device. The method comprises steps of acquiring multiple target obstacle blocks according to original laser point cloud; acquiring static probability vectors and dynamic probability vectors of the target obstacle blocks; and according to the static probability vectors and the dynamic probability vectors, determining the types of the target obstacle blocks. According to the invention, accuracy of point cloud classification can be improved.

Description

technical field [0001] The invention relates to the field of computers, in particular to a point cloud classification method and device. Background technique [0002] Lidar is a radar system that emits laser beams to detect the target's position, speed and other characteristic quantities. Its working principle is to first emit a detection laser beam to the target, and then properly process the received signal reflected from the target. Information about the target can be obtained, such as target distance, azimuth, height, speed, attitude, and even shape and other parameters. [0003] The reflection signal acquired by lidar is usually presented in the form of point cloud, and the classification and recognition of point cloud is of great significance for the application of point cloud data. Most of the existing point cloud classification and recognition methods are based on the static features of the target for classification and recognition, but when the amount of point clou...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06T17/20
CPCG06T17/20G06F18/2411
Inventor 邱纯鑫刘乐天
Owner SUTENG INNOVATION TECH CO LTD
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