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. 14, 2025

Filed:

Jun. 29, 2022
Applicant:

Zoox, Inc., Foster City, CA (US);

Inventors:

Marin Kobilarov, Baltimore, MD (US);

Linjun Zhang, Canton, MI (US);

Assignee:

Zoox, Inc., Foster City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2019.12); B60W 30/09 (2011.12); B60W 30/095 (2011.12); B60W 30/18 (2011.12); B60W 40/04 (2005.12); B60W 40/105 (2011.12); B60W 50/00 (2005.12);
U.S. Cl.
CPC ...
B60W 60/0011 (2020.01); B60W 30/09 (2012.12); B60W 30/0956 (2012.12); B60W 30/18159 (2020.01); B60W 40/04 (2012.12); B60W 40/105 (2012.12); B60W 50/0097 (2012.12); B60W 60/0015 (2020.01); B60W 60/00274 (2020.01); B60W 2520/105 (2012.12); B60W 2554/4044 (2020.01); B60W 2554/4045 (2020.01);
Abstract

Techniques for determining relevant objects in an environment around a vehicle are discussed herein. Sensor data can be captured and input to a model to determine predicted object trajectories and associated probabilities. For a candidate trajectory for the vehicle to follow, regions of overlap between the vehicle trajectory and the predicted object trajectories can be determined. An interaction graph can be generated representing interactions between the candidate trajectory and the predicted object trajectories. The interaction graph can be sampled based on the probabilities and/or other characteristics. Samples from the interaction graph can be used to determine relevant objects in a driving scenario for a vehicle traversing an environment. Based on the sample, the vehicle may generate a relevancy score associated with the sample. The vehicle may determine that a number of the most relevant sample scenarios may be sent to a prediction component and control of the vehicle.


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