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. 24, 2019

Filed:

Oct. 31, 2018
Applicant:

Luminar Technologies, Inc., Orlando, FL (US);

Inventors:

Benjamin Englard, Palo Alto, CA (US);

Eric C. Danziger, San Francisco, CA (US);

Assignee:

Luminar Technologies, Inc., Orlando, FL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01S 17/89 (2006.01); G01S 7/40 (2006.01); G01S 7/41 (2006.01); G01S 13/42 (2006.01); G05D 1/00 (2006.01); G05D 1/02 (2006.01); B60W 30/18 (2012.01); B60W 10/04 (2006.01); G06N 3/08 (2006.01); G01S 17/93 (2006.01); G06T 3/40 (2006.01); G06T 17/05 (2011.01); G06T 17/20 (2006.01); G01S 7/48 (2006.01); G01S 7/481 (2006.01); G01S 17/02 (2006.01); G06T 7/50 (2017.01); G06K 9/42 (2006.01); G06K 9/62 (2006.01); G01S 17/66 (2006.01); G06K 9/00 (2006.01); G06T 15/08 (2011.01); G01S 7/497 (2006.01); B60W 50/06 (2006.01); G01S 13/93 (2006.01); G06T 7/20 (2017.01);
U.S. Cl.
CPC ...
G01S 17/89 (2013.01); B60W 10/04 (2013.01); B60W 30/18145 (2013.01); B60W 30/18163 (2013.01); B60W 50/06 (2013.01); G01S 7/40 (2013.01); G01S 7/4026 (2013.01); G01S 7/417 (2013.01); G01S 7/4808 (2013.01); G01S 7/4817 (2013.01); G01S 7/4972 (2013.01); G01S 13/42 (2013.01); G01S 13/931 (2013.01); G01S 17/023 (2013.01); G01S 17/66 (2013.01); G01S 17/936 (2013.01); G05D 1/0088 (2013.01); G05D 1/0094 (2013.01); G05D 1/0221 (2013.01); G05D 1/0231 (2013.01); G05D 1/0248 (2013.01); G06K 9/00791 (2013.01); G06K 9/42 (2013.01); G06K 9/6261 (2013.01); G06N 3/08 (2013.01); G06T 3/4007 (2013.01); G06T 7/50 (2017.01); G06T 15/08 (2013.01); G06T 17/05 (2013.01); G06T 17/20 (2013.01); B60W 2420/42 (2013.01); B60W 2420/52 (2013.01); B60W 2550/12 (2013.01); B60W 2550/13 (2013.01); B60W 2550/142 (2013.01); B60W 2550/20 (2013.01); B60W 2550/22 (2013.01); B60W 2720/106 (2013.01); B60W 2720/12 (2013.01); B60W 2720/125 (2013.01); G01S 2007/403 (2013.01); G01S 2007/4034 (2013.01); G01S 2013/9367 (2013.01); G05D 1/0257 (2013.01); G05D 2201/0213 (2013.01); G06K 9/00832 (2013.01); G06K 9/6256 (2013.01); G06K 9/6267 (2013.01); G06T 7/20 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A method for configuring a perception component of a vehicle having one or more sensors includes generating a first set of training data that includes first sensor data corresponding to a first setting of one or more sensor parameters, and an indicator of the first setting. The method also includes generating a second set of training data that includes second sensor data corresponding to a second setting of the sensor parameter(s), and an indicator of the second setting. The method further includes training the perception component, at least by training a machine learning based model using the first and second training data sets. The trained perception component is configured to generate signals descriptive of a current state of the vehicle environment by processing sensor data generated by the sensor(s), and one or more indicators indicating which setting of the sensor parameter(s) corresponds to which portions of the generated sensor data.


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