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:
Jul. 18, 2023

Filed:

Dec. 01, 2021
Applicant:

Phantom Auto Inc., Mountain View, CA (US);

Inventors:

Shay Magzimof, Palo Alto, CA (US);

David Parunakian, Moscow, RU;

Yuval Deri, Petach Tikva, IL;

Gleb Mezhanskiy, San Francisco, CA (US);

Assignee:

Phantom Auto Inc., South San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 45/24 (2022.01); H04W 28/06 (2009.01); H04L 45/16 (2022.01); H04W 28/02 (2009.01);
U.S. Cl.
CPC ...
H04L 45/24 (2013.01); H04L 45/16 (2013.01); H04W 28/0236 (2013.01); H04W 28/06 (2013.01);
Abstract

A communication system facilities low-latency, high-availability multipath streaming between terminals (e.g., mobile terminals) and a server platform. In an example application, a remote support service operating on the server platform provides remote teleoperation, monitoring, or data processing services to a mobile terminal embodied as a vehicle or robot utilizing a low latency communication link. The low latency link enables a remote operator to receive video or telemetry feeds, and timely monitor and respond to hazards in substantially real-time. The low latency communication link may be achieved even when the data streams are transmitted over public networks incorporating at least one wireless leg, and where individual connections have varying quality of service in terms of delivery latency due to congestion or stochastic packet losses. Assignment of data streams to particular communication channels may be made on an optimization model derived from a machine-learning process or simulation.


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