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. 24, 2022

Filed:

Jul. 02, 2020
Applicant:

Deepmap Inc., Palo Alto, CA (US);

Inventors:

Mark Wheeler, Saratoga, CA (US);

Derik Schroeter, Fremont, CA (US);

Assignee:

NVIDIA CORPORATION, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01C 21/32 (2006.01); G01C 21/36 (2006.01); G06F 16/29 (2019.01); B60W 60/00 (2020.01); G01C 21/30 (2006.01); G06V 20/56 (2022.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01);
U.S. Cl.
CPC ...
G01C 21/32 (2013.01); B60W 60/001 (2020.02); G01C 21/30 (2013.01); G01C 21/3605 (2013.01); G06F 16/29 (2019.01); G06V 20/56 (2022.01); B60W 60/0025 (2020.02); B60W 2420/52 (2013.01); G05D 1/0088 (2013.01); G05D 1/0274 (2013.01); G05D 2201/0213 (2013.01);
Abstract

According to an aspect of an embodiment, operations may comprise for each of the set of geographic X-positions, accessing an HD map of a geographical region surrounding the geographic X-position, determining a convergence range for the geographic X-position, and storing the convergence range for the geographic X-position in the HD map. The operations may also comprise accessing the HD map, predicting a next geographic X-position of a target vehicle, predicting a covariance of the predicted next geographic X-position, accessing the convergence range for the geographic X-position in the HD map closest to the predicted next geographic X-position, estimating a current geographic X-position of the target vehicle by performing a localization algorithm, and determining a confidence value for the estimated current geographic X-position of the target vehicle based on the predicted next geographic X-position, the predicted covariance, and the accessed convergence range.


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