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Road structure information extraction method, UAV and automatic driving system

A technology of road structure and extraction method, which is applied in the direction of computer parts, instruments, characters and pattern recognition, etc., can solve the problem of low efficiency of road structure information, achieve the effect of detailed description and improve extraction efficiency

Pending Publication Date: 2020-06-19
SZ DJI TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a method for extracting road structure information, an unmanned aerial vehicle and an automatic driving system to solve the problems in the prior art that require manual labeling and obtain low efficiency of road structure information

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  • Road structure information extraction method, UAV and automatic driving system
  • Road structure information extraction method, UAV and automatic driving system
  • Road structure information extraction method, UAV and automatic driving system

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Embodiment Construction

[0029] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. 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.

[0030] It should be noted that when a component is said to be "fixed" to another component, it can be directly on the other component or there can also be an intervening component. When a component is said to be "connected" to another component, it may be directly connected to the other component or there may be intervening components at the same ...

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Abstract

Embodiments of the present invention provide a road structure information extraction method, unmanned aerial vehicle, and automatic driving system. The method includes: obtaining at least one frame ofimage data of the road (S201); determining a semantic map of the road based on the at least one frame of image data (S202), and determining road structure information of the road according to the semantic map and the road structure model, wherein the road structure information includes lane grouping information (S203), which realizes the automatic extraction of road structure information withoutmanual annotation, and can extract road structure information in real time, which improves the extraction efficiency of road structure information and the road structure information includes not onlylane information but also lane grouping information, and description of the road structure is more specific. .

Description

technical field [0001] The embodiments of the present invention relate to the technical field of unmanned driving, and in particular to a method for extracting road structure information, a drone and an automatic driving system. Background technique [0002] In unmanned driving scenarios, road structure information is an indispensable and dependent information for safe driving. With the rapid development of unmanned driving technology, the requirements for map accuracy and information volume are gradually increasing. Traditional maps can no longer meet the needs. A high-precision map that can provide high-precision and detailed road structure information is needed. High-precision maps not only require high-precision data, but also contain detailed and well-organized road structure information. [0003] In the prior art, the road structure information contained in the road data is usually marked by manual labeling after the scene road data is obtained by using sensors, such ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/62
CPCG06V20/182G06V20/588G06V10/267G06F18/214
Inventor 李鑫超
Owner SZ DJI TECH CO LTD
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