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:
May. 09, 2023

Filed:

Nov. 16, 2022
Applicant:

Plusai, Inc., Santa Clara, CA (US);

Inventors:

Mayank Gupta, Mountain View, CA (US);

Anurag Ganguli, Saratoga, CA (US);

Timothy P. Daly, Jr., San Jose, CA (US);

Amit Kumar, Sunnyvale, CA (US);

Assignee:

PlusAI, Inc., Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/80 (2022.01); B60W 50/00 (2006.01); B60W 50/14 (2020.01); G06V 20/56 (2022.01); G01S 13/931 (2020.01); G01S 13/86 (2006.01); G01S 13/95 (2006.01);
U.S. Cl.
CPC ...
G06V 10/811 (2022.01); B60W 50/00 (2013.01); B60W 50/14 (2013.01); G06V 20/56 (2022.01); B60W 2050/146 (2013.01); B60W 2420/42 (2013.01); B60W 2420/52 (2013.01); B60W 2420/54 (2013.01); B60W 2555/20 (2020.02); B60W 2556/35 (2020.02); B60W 2556/45 (2020.02); G01S 13/862 (2013.01); G01S 13/865 (2013.01); G01S 13/867 (2013.01); G01S 13/931 (2013.01); G01S 13/951 (2013.01); G01S 2013/9323 (2020.01); G01S 2013/9324 (2020.01);
Abstract

An apparatus includes a processor configured to be disposed with a vehicle and a memory coupled to the processor. The memory stores instructions to cause the processor to receive, at least two of: radar data, camera data, lidar data, or sonar data. The sensor data is associated with a predefined region of a vicinity of the vehicle while the vehicle is traveling during a first time period. At least a portion of the vehicle is positioned within the predefined region during the first time period. The method also includes detecting that no other vehicle is present within the predefined region. An environment of the vehicle during the first time period is classified as one state from a set of states that includes at least one of dry, light rain, heavy rain, light snow, or heavy snow, based on at least two of the sensor data to produce an environment classification. An operational parameter of the vehicle based on the environment classification is modified.


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