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. 26, 2020

Filed:

Dec. 29, 2016
Applicant:

California Institute of Technology, Pasadena, CA (US);

Inventors:

Anthony T. S. Fragoso, Los Angeles, CA (US);

Larry H. Matthies, Northridge, CA (US);

Roland Brockers, Pasadena, CA (US);

Richard M. Murray, Pasadena, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G08G 5/00 (2006.01); G01C 21/00 (2006.01); G08G 5/04 (2006.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G05D 1/10 (2006.01); B64C 39/02 (2006.01); G01S 17/933 (2020.01); G01S 17/89 (2020.01); G01S 17/86 (2020.01);
U.S. Cl.
CPC ...
G08G 5/0069 (2013.01); B64C 39/024 (2013.01); G01C 21/005 (2013.01); G05D 1/102 (2013.01); G06K 9/0063 (2013.01); G06K 9/00624 (2013.01); G06K 9/6202 (2013.01); G08G 5/045 (2013.01); B64C 2201/126 (2013.01); B64C 2201/127 (2013.01); B64C 2201/141 (2013.01); G01S 17/86 (2020.01); G01S 17/89 (2013.01); G01S 17/933 (2013.01);
Abstract

A method, device, framework, and system provide the ability to control an unmanned aerial vehicle (UAV) to avoid obstacle collision. Range data of a real-world scene is acquired using range sensors (that provide depth data to visible objects). The range data is combined into an egospace representation (consisting of pixels in egospace). An apparent size of each of the visible objects is expanded based on a dimension of the UAV. An assigned destination in the real world scene based on world space is received and transformed into egospace coordinates in egospace. A trackable path from the UAV to the assigned destination through egospace that avoids collision with the visible objects (based on the expanded apparent sizes of each of the visible objects) is generated. Inputs that control the UAV to follow the trackable path are identified.


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