Semantic information labeling method for laser point cloud and related equipment

A laser point cloud and semantic information technology, applied in two-dimensional position/channel control and other directions, can solve the problems of high cost and slow labeling speed of laser point cloud data, and achieve the solution of small amount of label data and small amount of calculation. , computationally uncomplicated effects

Pending Publication Date: 2021-11-26
GUANGZHOU WERIDE TECH LTD CO
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Problems solved by technology

[0010] In view of this, this application provides a semantic information labeling method of laser point cloud and related equipment, which can solve the problem of high cost and slow labeling speed of laser point cloud data to a certain extent

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  • Semantic information labeling method for laser point cloud and related equipment
  • Semantic information labeling method for laser point cloud and related equipment
  • Semantic information labeling method for laser point cloud and related equipment

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Embodiment Construction

[0071] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the 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 semantic information labeling method of the laser point cloud provided by the embodiment of the present application is introduced below. see figure 1 , the semantic information labeling method of the laser point cloud provided in the embodiment of the present application may include the following steps:

[0073] Step S100, obtaining a first list of polygons representing the region of interest.

[0074] Specifically, at least one first polygon marked as the region of int...

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Abstract

The invention discloses a semantic information labeling method for a laser point cloud and related equipment. The method comprises the following steps: acquiring a first polygon list labeled as a region of interest and a second polygon list labeled as a non-driving region in a laser point cloud image; judging whether each first polygon in the first polygon list is overlapped with any second polygon in the second polygon list or not; if yes, for the target first polygon and the target second polygon which are overlapped, generating a new first polygon to replace the target first polygon in the first polygon list according to a difference set of the target first polygon and the target second polygon; and when all the first polygons in the first polygon list are not overlapped with any second polygon in the second polygons, marking each first polygon in the final first polygon list as a drivable area. Calculation required by the calculation process is not complex, the calculation amount is small, and semantic information labeling of the laser point cloud can be rapidly and efficiently achieved.

Description

technical field [0001] The present application relates to the technical field of automatic driving, and more specifically, relates to a semantic information labeling method of laser point cloud and related equipment. Background technique [0002] In recent years, with the development of artificial intelligence technology, its various landing scenarios are also gradually put into use, such as AI medical care, face recognition payment technology, intelligent robots and automatic driving technology. As a relatively important technology, autonomous driving technology is still in the testing stage of continuous technological iteration, and resources are continuously invested at home and abroad to carry out related research and development work. [0003] Autonomous driving technology is a complex engineering system that requires the cooperation of various modules to ensure driving safety in an all-round way. These modules are roughly divided into four modules: environment percepti...

Claims

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Application Information

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IPC IPC(8): G05D1/02
CPCG05D1/0246G05D1/0257G05D1/0223G05D1/0276
Inventor 赵宇奇陈坤杰韩旭
Owner GUANGZHOU WERIDE TECH LTD CO
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