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:
Dec. 19, 2023

Filed:

Sep. 29, 2021
Applicant:

Canoo Technologies Inc., Torrance, CA (US);

Inventors:

Kilsoo Kim, Redondo Beach, CA (US);

Jongmoo Choi, Gardena, CA (US);

Mayukh Sattiraju, Redondo Beach, CA (US);

Dheemanth Uppalapati, Marina Del Rey, CA (US);

Dhruvil Darji, Torrance, CA (US);

Siddharth Agarwal, Torrance, CA (US);

Shanmukha M. Bhumireddy, Torrance, CA (US);

Aviral K. Singh, Torrance, CA (US);

Assignee:

Canoo Technologies Inc., Torrance, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 40/02 (2006.01); B60W 60/00 (2020.01); B60W 50/00 (2006.01); B60W 50/16 (2020.01); B60W 30/14 (2006.01); B60W 10/18 (2012.01); B60W 10/20 (2006.01); G06V 20/56 (2022.01); B60W 50/06 (2006.01);
U.S. Cl.
CPC ...
B60W 40/02 (2013.01); B60W 10/18 (2013.01); B60W 10/20 (2013.01); B60W 30/143 (2013.01); B60W 50/0097 (2013.01); B60W 50/06 (2013.01); B60W 60/0015 (2020.02); G06V 20/56 (2022.01); B60W 2420/52 (2013.01); B60W 2554/801 (2020.02); B60W 2554/802 (2020.02);
Abstract

A method includes obtaining sensor data associated with a target object at an ego vehicle, where the sensor data includes image data within an image frame. The method also includes identifying a first longitudinal distance of a first point of the target object from the ego vehicle within a world frame. The method further includes identifying a first lateral distance of the first point of the target object from the ego vehicle within the world frame using a first normalization ratio that is based on the image data. The method also includes predicting a future path of the target object based on the first longitudinal distance and the first lateral distance. In addition, the method includes controlling at least one operation of the ego vehicle based on the predicted future path of the target object.


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