logo

For the Inventor, By the Inventor

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.

Patent No.:

US 12013457 B1

PDFFull Text
Date of Patent:
Jun. 18, 2024

Filed:

Jan. 15, 2021

Systems and methods for integrating radar data for improved object detection in autonomous vehicles

Applicant:

Uatc, Llc, Pittsburgh, PA (US);

Inventors:

Raquel Urtasun, Toronto, CA;

Bin Yang, Toronto, CA;

Ming Liang, Toronto, CA;

Sergio Casas, Toronto, CA;

Runsheng Benson Guo, Toronto, CA;

Assignee:

UATC, LLC, Pittsburgh, PA (US);

Attorney:

Dority & Manning, P.A.

Primary Examiner:

Whitney Moore

Int. Cl.
CPC ...
G01S 13/86 (2006.01); G01S 7/41 (2006.01); G01S 13/58 (2006.01); G01S 17/89 (2020.01); G01S 17/931 (2020.01); G06F 18/22 (2023.01); G06F 18/2433 (2023.01); G06F 18/25 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 20/00 (2019.01); G06V 10/74 (2022.01); G06V 10/80 (2022.01); G06V 10/84 (2022.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G01S 13/865 (2013.01); G01S 7/417 (2013.01); G01S 13/589 (2013.01); G01S 17/89 (2013.01); G01S 17/931 (2020.01); G06F 18/22 (2023.01); G06F 18/2433 (2023.01); G06F 18/251 (2023.01); G06N 3/045 (2023.01); G06N 20/00 (2019.01); G06V 10/761 (2022.01); G06V 10/803 (2022.01); G06V 10/84 (2022.01); G06V 20/58 (2022.01); G06N 3/044 (2023.01);
Abstract

Systems and methods for integrating radar and LIDAR data are disclosed. In particular, a computing system can access radar sensor data and LIDAR data for the area around the autonomous vehicle. The computing system can determine, using the one or more machine-learned models, one or more objects in the area of the autonomous vehicle. The computing system can, for a respective object, select a plurality of radar points from the radar sensor data. The computing system can generate a similarity score for each selected radar point. The computing system can generate weight associated with each radar point based on the similarity score. The computing system can calculate predicted velocity for the respective object based on a weighted average of a plurality of velocities associated with the plurality of radar points. The computing system can generate a proposed motion plan based on the predicted velocity for the respective object.

Find Patent Forward Citations

Loading…