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. 18, 2023

Filed:

Jan. 02, 2020
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Jayakrishnan Unnikrishnan, Jersey City, NJ (US);

Avdhut Joshi, Carlsbad, CA (US);

Shivam Agarwal, San Diego, CA (US);

Amir Salimi, La Jolla, CA (US);

Sree Sesha Aravind Vadrevu, San Diego, CA (US);

Gautam Sachdeva, San Diego, CA (US);

Yoga Y Nadaraajan, San Diego, CA (US);

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

Xinzhou Wu, San Diego, CA (US);

Young-Ki Baik, Seoul, KR;

Duck Hoon Kim, Seoul, KR;

Hyun-Mook Cho, Seoul, KR;

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/277 (2017.01); G01S 13/58 (2006.01); G06T 7/246 (2017.01); G01S 13/931 (2020.01); B60R 11/04 (2006.01); G06V 20/58 (2022.01); G06V 20/56 (2022.01); G06V 10/25 (2022.01); G06V 10/762 (2022.01); G06V 10/80 (2022.01);
U.S. Cl.
CPC ...
G01S 13/58 (2013.01); B60R 11/04 (2013.01); G01S 13/931 (2013.01); G06T 7/246 (2017.01); G06T 7/277 (2017.01); G06V 10/25 (2022.01); G06V 10/762 (2022.01); G06V 10/803 (2022.01); G06V 20/58 (2022.01); G06V 20/588 (2022.01); B60R 2300/301 (2013.01); B60R 2300/302 (2013.01); G01S 2013/932 (2020.01); G01S 2013/9325 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Disclosed are techniques for determining a motion state of a target object. In an aspect, an on-board computer of an ego vehicle detects the target object in one or more images, determines one or more first attributes of the target object based on measurements of the one or more images, determines one or more second attributes of the target object based on measurements of a map of a roadway on which the target object is travelling, and determines the motion state of the target object based on the one or more first attributes and the one or more second attributes of the target object.


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