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:
Sep. 13, 2022

Filed:

Dec. 02, 2019
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Bence Major, Amsterdam, NL;

Daniel Hendricus Franciscus Fontijne, Haarlem, NL;

Ravi Teja Sukhavasi, La Jolla, CA (US);

Amin Ansari, San Diego, CA (US);

Assignee:

Qualcomm Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/00 (2022.01); G06V 20/56 (2022.01); G06T 7/70 (2017.01); G06K 9/62 (2022.01); G06T 7/60 (2017.01); G06V 10/40 (2022.01); G06V 10/24 (2022.01); G05D 1/02 (2020.01);
U.S. Cl.
CPC ...
G06V 20/56 (2022.01); G06K 9/6267 (2013.01); G06T 7/60 (2013.01); G06T 7/70 (2017.01); G06V 10/242 (2022.01); G06V 10/40 (2022.01); G05D 1/0231 (2013.01); G05D 1/0257 (2013.01); G05D 1/0276 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Methods of processing vehicle sensor information for object detection may include capturing generating a feature map based on captured sensor information, associating with each pixel of the feature map a prior box having a set of two or more width priors and a set of two or more height priors, determining a confidence value of each height prior and each width prior, outputting an indication of a detected object based on a highest confidence height prior and a highest confidence width prior, and performing a vehicle operation based on the output indication of a detected object. Embodiments may include determining for each pixel of the feature map one or more prior boxes having a center value, a size value, and a set of orientation priors, determining a confidence value for each orientation prior, and outputting an indication of the orientation of a detected object based on the highest confidence orientation.


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