The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 02, 2026

Filed:

May. 14, 2024
Applicant:

Autel Robotics Co., Ltd., Shenzhen, CN;

Inventor:

Xin Zheng, Shenzhen, CN;

Assignee:

AUTEL ROBOTICS CO., LTD., Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 13/239 (2018.01); B64C 39/02 (2023.01); B64D 47/00 (2006.01); B64U 101/00 (2023.01); G01J 1/42 (2006.01); G06V 20/58 (2022.01); H04N 13/254 (2018.01); H04N 13/296 (2018.01); B64U 10/13 (2023.01); B64U 101/30 (2023.01);
U.S. Cl.
CPC ...
H04N 13/254 (2018.05); B64C 39/024 (2013.01); B64D 47/00 (2013.01); G01J 1/4204 (2013.01); G06V 20/58 (2022.01); H04N 13/239 (2018.05); H04N 13/296 (2018.05); B64U 10/13 (2023.01); B64U 2101/00 (2023.01); B64U 2101/30 (2023.01);
Abstract

Embodiments of the present invention relate to an obstacle detection method and apparatus and an unmanned aerial vehicle. The unmanned aerial vehicle includes a binocular photographing component and a laser texture component. The method includes: determining to start the laser texture component; starting the laser texture component, to emit a laser texture; obtaining a binocular view that is collected by the binocular photographing component and that includes the laser texture, and setting the binocular view that includes the laser texture as a target binocular view; and performing obstacle detection based on the target binocular view. In the above technical solutions, according to the embodiments of the present invention, precision of binocular stereo matching can be improved without changing an original binocular matching algorithm and structure, thereby improving precision of obstacle detection. In addition, the unmanned aerial vehicle can perform binocular sensing while flying at night.


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