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:
Apr. 07, 2020

Filed:

Jun. 24, 2016
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Aliakbar Aghamohammadi, San Diego, CA (US);

Saurav Agarwal, College Station, TX (US);

Shayegan Omidshafiei, Boston, MA (US);

Kiran SomaSundaram, San Diego, CA (US);

Christopher Lott, San Diego, CA (US);

Bardia Fallah Behabadi, La Jolla, CA (US);

Sarah Paige Gibson, Del Mar, CA (US);

Casimir Matthew Wierzynski, La Jolla, CA (US);

Gerhard Reitmayr, Vienna, AT;

Serafin Diaz Spindola, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G06K 9/62 (2006.01); G06K 9/00 (2006.01); G06T 7/579 (2017.01);
U.S. Cl.
CPC ...
G05D 1/0274 (2013.01); G05D 1/0251 (2013.01); G06K 9/00664 (2013.01); G06K 9/6277 (2013.01); G06T 7/579 (2017.01); G06T 2207/10021 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A method for defining a sensor model includes determining a probability of obtaining a measurement from multiple potential causes in a field of view of a sensor modeled based on a stochastic map. The stochastic map includes a mean occupancy level for each voxel in the stochastic map and a variance of the mean occupancy level for each pixel. The method also includes determining a probability of obtaining an image based on the determined probability of obtaining the measurement. The method further includes planning an action for a robot, comprising the sensor, based on the probability of obtaining the image.


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