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:
Feb. 27, 2024

Filed:

May. 18, 2021
Applicant:

Ford Global Technologies, Llc, Dearborn, MI (US);

Inventors:

Ankit Vora, Northville, MI (US);

Siddharth Agarwal, Ann Arbor, MI (US);

Krishanth Krishnan, Windsor, CA;

Assignee:

Ford Global Technologies, LLC, Dearborn, MI (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G01C 21/00 (2006.01); G05D 1/00 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0212 (2013.01); G01C 21/3815 (2020.08); G01C 21/3841 (2020.08); G05D 1/027 (2013.01); G05D 1/0231 (2013.01); G05D 1/0276 (2013.01); G05D 1/0278 (2013.01);
Abstract

A computer-implemented method for controlling a vehicle includes receiving, via a processor, from two or more IX control devices disposed at a two or more stationary positions having known latitudes longitudes and orientations, first sensory data identifying the position and dimensions of a feature in a mapped region. The processor generates a plurality of IX nodes based on the first sensory data received from the IX control devices, and receives LiDAR point cloud that includes LiDAR and other vehicle sensory device data such as Inertial Measurement Unit (IMU) data received from a Vehicle (AV) driving in the mapped region. The LiDAR point cloud includes a simultaneous localization and mapping (SLAM) map having second dimension information and second position information associated with the feature in the mapped region. The processor generates, without GPS and/or real-time kinematics information, an optimized High-Definition (HD) map having Absolute accuracy using batch optimization and map smoothing.


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