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:
Oct. 26, 2021

Filed:

Feb. 20, 2018
Applicant:

Zoox, Inc., Menlo Park, CA (US);

Inventors:

Zeng Wang, Menlo Park, CA (US);

Nitesh Shroff, Millbrae, CA (US);

Dragomir Dimitrov Anguelov, San Francisco, CA (US);

Subhasis Das, Menlo Park, CA (US);

Jesse Sol Levinson, Redwood City, CA (US);

Brice Rebsamen, San Jose, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/28 (2019.01); G06F 16/23 (2019.01); G06N 20/00 (2019.01); G06F 16/29 (2019.01); G06T 7/11 (2017.01); G06K 9/00 (2006.01); G01C 21/32 (2006.01);
U.S. Cl.
CPC ...
G06F 16/287 (2019.01); G01C 21/32 (2013.01); G06F 16/2379 (2019.01); G06F 16/29 (2019.01); G06K 9/00791 (2013.01); G06N 20/00 (2019.01); G06T 7/11 (2017.01);
Abstract

A system may receive a sensor dataset representing an environment and use the dataset to create or update a map. In creating or updating the map, the system may determine an object classification of one or more detected objects and only selectively incorporate data into the map based at least in part on the classification. The map may be associated with the classification (or semantic) information of the objects, as well as weights based on the classification. Similarly, datasets with selected classes of data removed may be used for system localization. Further, the system may determine an object track of the objects. When updating the map, voxels in a voxel space may indicate an occupied voxel based on a threshold number of observances. The object track and clean map can then be used for controlling an autonomous vehicle.


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