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:
May. 29, 2018

Filed:

Dec. 10, 2014
Applicant:

Baidu Online Network Technology (Beijing) Co., Ltd., Beijing, CN;

Inventors:

Kai Ni, Beijing, CN;

Yanke Wang, Beijing, CN;

Liang Wang, Beijing, CN;

Ji Tao, Beijing, CN;

Kai Yu, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); B64C 39/02 (2006.01); G08G 5/00 (2006.01); G05D 1/10 (2006.01); G05D 1/00 (2006.01); G06T 17/05 (2011.01);
U.S. Cl.
CPC ...
B64C 39/024 (2013.01); G05D 1/0094 (2013.01); G05D 1/101 (2013.01); G06T 17/05 (2013.01); G08G 5/0034 (2013.01); G08G 5/0069 (2013.01); B64C 2201/127 (2013.01); B64C 2201/141 (2013.01);
Abstract

The present disclosure provides an autonomous navigation method and system, and a map modeling method and system. The autonomous navigation method comprises: controlling an unmanned aerial vehicle to take off, and collecting videos of a scene corresponding to the unmanned aerial vehicle at each collection time point; obtaining feature points in the videos of the scene corresponding to each collection time point; generating a flight path of the unmanned aerial vehicle according to the feature points in the videos of the scene corresponding to each collection time point; generating a first map model according to the flight path of the unmanned aerial vehicle and the videos of the scene corresponding to each collection time point; and carrying out autonomous navigation on the unmanned aerial vehicle according to the first map model.


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