Myung S Kim

US Patent:

20220244345, Aug 4, 2022

Filed:

Feb 4, 2021

Appl. No.:

17/167617

Inventors:

- Houston TX, US
Myung Cheol Kim - Santa Clara CA, US
Andre Beaudin - St. Laurent, CA

International Classification:

G01S 7/02
G01S 7/292

Abstract:

Systems and methods are provided for learning radio frequency pulses transmitted at various frequencies in a wireless environment, including false radar signals and actual radar. For example, the system can keep a list of radio frequency pulse characteristics detected by access points (APs) but ignored when not declared a radar. The detected radio frequency pulse can be compared with those on the list and may be added to the deny-list if not radar. The AP learns what intervals are normal for the communication environment and if the noise someday looks like a real radar (but it not actually a radar), it will not be classified as radar because it is on the deny-list.

US Patent:

20230050564, Feb 16, 2023

Filed:

Jul 29, 2021

Appl. No.:

17/388569

Inventors:

- Houston TX, US
Myung Cheol KIM - Santa Clara CA, US
Abhiruchi DAKSHINKAR - Santa Clara CA, US

International Classification:

H04W 24/08
H04B 17/318

Abstract:

Examples described herein relate to an investigator device and a method for determining a condition of an antenna of an access point (AP). At least one investigator device may receive one or more antenna condition test frames transmitted via a plurality of antennas of the AP Further, the at least one investigator device may determine an average received signal strength indicator (RSSI) value corresponding to each of the plurality of antennas based on the one or more antenna condition test frames. A condition of the plurality of antennas of the AP may be determined based on a relative comparison between the average RSSI value corresponding to each of the plurality of antennas of the AP. Moreover, in some examples, the at least one investigator device may send a notification to an administrator of the AP based on the condition of the plurality of antennas.

US Patent:

20210341570, Nov 4, 2021

Filed:

Apr 30, 2020

Appl. No.:

16/863002

Inventors:

- Houston TX, US
Andre BEAUDIN - St. Laurent, CA
Myung Cheol KIM - Santa Clara CA, US

International Classification:

G01S 7/292
G01S 7/02
G01S 7/288
H04W 72/04

Abstract:

A method for improving dynamic frequency selection (DFS) includes receiving, by an access point, a plurality of pulses in a DFS channel of the access point, determining, by the access point, a plurality of characteristics of the plurality of pulses, varying, by the access point, a threshold for radar detection, and determining, by the access point and based on at least one of the plurality of characteristics, whether the plurality of pulses are radar.

US Patent:

20210344438, Nov 4, 2021

Filed:

Apr 30, 2020

Appl. No.:

16/863079

Inventors:

- Houston TX, US
Andre BEAUDIN - St. Laurent, CA
Myung Cheol KIM - Santa Clara CA, US

International Classification:

H04K 3/00

Abstract:

A method for determining presence of a radar includes receiving a plurality of bursts in a dynamic frequency selection (DFS) channel of an access point, storing the plurality of bursts in a queue, in response to the queue comprising a threshold amount of bursts, determining a timespan of a first burst in the queue to a last burst in the queue, partitioning the timespan into at least a first group and a second group, determining a first number of bursts present in the first group and a second number of bursts present in the second group, in response to a difference between the first number of bursts and the second number of bursts equaling more than one, determining the radar is not present, and in response to the difference between the first number of bursts and the second number of bursts equaling one or less, determining radar is present.

US Patent:

20210304608, Sep 30, 2021

Filed:

Mar 31, 2020

Appl. No.:

16/835451

Inventors:

- San Francisco CA, US
Michael Alan Huff - Emeryville CA, US
Flavius Popescu - San Francisco CA, US
Chad Lawrence Bettencourt - San Francisco CA, US
Tejeswara Reddy Pogula - San Francisco CA, US
Yuxi Zhang - San Mateo CA, US
Jiajian Zhou - San Francisco CA, US
Christophe Philippona - San Francisco CA, US
Tal Benisty - San Francisco CA, US
Myung Jin Kim - San Mateo CA, US

Assignee:

GM Cruise Holdings LLC - San Francisco CA

International Classification:

G08G 1/16
B60W 60/00
B60W 50/14
G08G 1/01
G08G 1/09

Abstract:

To visualize planned behavior of an autonomous vehicle (AV) traveling along a roadway, a user interface engine receives data describing a planned pathway of the AV along the roadway and object data describing an object having a predicted pathway crossing the planned pathway of the AV at a cross point. The user interface engine classifies the object either an asserting object or a yielding object based on a prediction of whether the object reaches the cross point before the AV or after the AV. The user interface engine generates an image that includes the planned pathway of the AV and the object in the environment of the AV. The image of the object indicates whether the object is classified as an asserting object or a yielding object.