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. 06, 2020

Filed:

Jan. 23, 2019
Applicants:

Denso International America, Inc., Southfield, MI (US);

Denso Corporation, Kariya, Aichi-pref., JP;

Inventors:

Haris Volos, Sunnyvale, CA (US);

Takashi Bando, Mountain View, CA (US);

Kenji Konishi, San Jose, CA (US);

Assignees:

DENSO International America, Inc., Southfield, MI (US);

DENSO CORPORATION, Kariya, Aichi-pref., JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/26 (2006.01); G06N 7/00 (2006.01); H04W 4/40 (2018.01);
U.S. Cl.
CPC ...
H04L 43/0852 (2013.01); G06N 7/005 (2013.01); H04W 4/40 (2018.02);
Abstract

A vehicle application enabling system is provided and includes a memory and initialization, latency evaluation, and application enable modules. The initialization module: receives a maximum network latency; sets a percentage of occurrences that the maximum network latency is not satisfied, a maximum false positive rate, and a maximum deviation value; and calculates a weighting factor based on the percentage of occurrences, maximum false positive rate and maximum deviation value. The latency evaluation module implements a latency evaluation algorithm, which includes: comparing one or more latency estimates to the maximum network latency to provide one or more samples; updating confusion matrix statistics based on the one or more samples; updating a probability threshold based on the maximum false positive rate; updating weighted observations based on the weighting factor; and determining a predicted decision based on the probability threshold. The application enable module executes the vehicle application based on the probability threshold.


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