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. 07, 2023

Filed:

Jun. 17, 2020
Applicant:

Hl Klemove Corp., Incheon, KR;

Inventor:

HyunSoo Park, Seoul, KR;

Assignee:

HL KLEMOVE CORP., Incheon, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 19/47 (2010.01); G01S 19/39 (2010.01); B60W 30/00 (2006.01); G07C 5/08 (2006.01); B60K 35/00 (2006.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G01S 19/47 (2013.01); B60K 35/00 (2013.01); B60W 30/00 (2013.01); G01S 19/393 (2019.08); G01S 19/396 (2019.08); G07C 5/085 (2013.01); B60K 2370/152 (2019.05); B60K 2370/164 (2019.05); B60W 2520/10 (2013.01); B60W 2520/14 (2013.01); G06V 20/58 (2022.01);
Abstract

A vehicle includes receiving signals from a plurality of satellites; obtaining position information based on the received signal; detecting a driving speed and yaw rate; obtaining dead reckoning information based on position information about a position of a vehicle recognized in a previous cycle and the received detection information; predicting the position information based on the obtained dead reckoning information; obtaining a value of Euclidean distance based on the position information about the position of the vehicle recognized in the previous cycle and the obtained position information; generating a first outlier filter based on the value of the Euclidean distance; obtaining a value of Mahalanobis distance based on the obtained position information and the predicted position information; generating a second outlier filter based on the value of the Mahalanobis distance; recognizing a current position of the vehicle by fusing information passing through the first outlier filter and information passing through the second outlier filter; and outputting information about the current position of the recognized vehicle as an image or a sound.


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