Jeremy C Bennington, 483601 Lakeshore Ct, Greenwood, IN 46143

2022022, Jul 14, 2022

Mar 28, 2022

17/706421

- Crawley, GB
Esther Anyaegbu - Northampton, GB
Jeremy Charles Bennington - Greenwood IN, US

Spirent Communications PLC - Crawley

G01S 19/08
H04L 67/12

Disclosed is a method of enhancing RTK position resolution using an RTK-enabled GNSS positioning receiver, including receiving an RTK base station signal for differential position calculation, and receiving a forecast assured navigation signal that includes data identifying line-of-sight availability of satellites generating GNSS signals at a position of the GNSS positioning receiver. Also included is excluding from, or reducing the weighting of, GNSS position calculation satellites not identified as line-of-sight available in the forecast assured navigation signal, and computing the GNSS position calculation combining the knowledge of line of sight, or not line of sight, satellites with the RTK base station signal to perform the differential position calculation and to determine an improved calculated position of the GNSS positioning receiver. Further included is unpacking from the forecast navigation signal receiver the data identifying line-of-sight availability of satellites based on an initially calculated location of the GNSS positioning receiver.

2022036, Nov 17, 2022

Aug 1, 2022

17/878813

- San Jose CA, US
Jeremy BENNINGTON - Greenwood IN, US

Spirent Communications, Inc. - San Jose CA

H04N 21/647
H04N 21/234

At least three uses of the technology disclosed are immediately recognized. First, a video stream classifier can be trained that has multiple uses. Second, a trained video stream classifier can be applied to monitor a live network. It can be extended by the network provider to customer relations management or to controlling video bandwidth. Third, a trained video stream classifier can be used to infer bit rate switching of codecs used by video sources and content providers. Bit rate switching and resulting video quality scores can be used to balance network loads and to balance quality of experience for users, across video sources. Balancing based on bit rate switching and resulting video quality scores also can be used when resolving network contention.

2023001, Jan 19, 2023

Sep 19, 2022

17/948218

- Crawley, GB
Esther Anyaegbu - Northampton, GB
Colin Richard FORD - Carmarthen, GB
Paul Hansen - Cambridge, GB
Ronald Toh Ming Wong - Paignton, GB
Jeremy Charles Bennington - Greenwood IN, US
Samuel NARDONI - Paignton, GB

Spirent Communications PLC - Crawley

G01S 19/08
H04L 67/12

Disclosed is route planning using a worst-case risk analysis and, if needed, a best-case risk analysis of GNSS coverage. The worst-case risk analysis identifies cuboids or 2d regions through which a vehicle can be routed with assurance that adequate GNSS coverage will be available regardless of the time of day that the vehicle travels. The best-case risk analysis identifies cuboids or 2d regions through which there is adequate coverage at some times during the day. In case path finding using the worst-case risk analysis fails, a best-case risk analysis can be requested and used to find alternate potential path(s). Time dependent forecast data that covers regions along the alternate potential path(s) can be requested and used to route vehicles, including autonomous drones, from starting points to destinations. This includes generation, distribution and use of risk analysis data, implemented as methods, systems and articles of manufacture.

2020032, Oct 8, 2020

Apr 7, 2020

16/842676

- San Jose CA, US
Jeremy Bennington - Greenwood IN, US

Spirent Communications, Inc. - San Jose CA

H04N 21/647
H04N 21/234

At least three uses of the technology disclosed are immediately recognized. First, a video stream classifier can be trained that has multiple uses. Second, a trained video stream classifier can be applied to monitor a live network. It can be extended by the network provider to customer relations management or to controlling video bandwidth. Third, a trained video stream classifier can be used to infer bit rate switching of codecs used by video sources and content providers. Bit rate switching and resulting video quality scores can be used to balance network loads and to balance quality of experience for users, across video sources. Balancing based on bit rate switching and resulting video quality scores also can be used when resolving network contention.

2019025, Aug 22, 2019

Dec 11, 2018

16/216699

- San Jose CA, US
Jeremy BENNINGTON - Greenwood IN, US

Spirent Communications, Inc. - San Jose CA

G06K 9/62
G06K 9/00
G06T 5/20
G06N 20/10
G06N 3/08

The disclosed technology teaches training a NR VMOS score generator by generating synthetically impaired images from FR video using filters tuned to generate impaired versions and applying a FR VMOS generator to pairs of unimpaired FR images from the FR video and the impaired versions of the FR images to create ground truth scores for the impaired versions. The disclosed method also includes training by machine learning model an image evaluation classifier using the ground truth scores and the impaired versions to generate NR VMOS scores, and storing coefficients of the image evaluation classifier for use as the NR VMOS score generator. Also disclosed is generating a NR VMOS score by invoking the trained NR VMOS score generator, with stored coefficients generated by feeding the trained NR VMOS score generator with images captured from scenes in a video to be scored, and evaluating the images to generate NR VMOS scores.

2016035, Dec 1, 2016

May 27, 2016

15/166887

- Pittsburgh PA, US
JEREMY BENNINGTON - GREENWOOD IN, US

CHEETAH TECHNOLOGIES, L.P. d/b/a V-FACTOR TECHNOLOGIES - PITTSBURGH PA

H04N 21/234
H04N 21/435
H04N 21/61

A method of managing video signals utilizes non-reference quality analysis to select versions of the video which are of at least a desired quality to process and distribute from among versions which are not of a desired quality.