Amazon Technologies, Inc.

Peloton Interactive, Inc.

Michael Garcia

Brett Francis

David Joseph Mifsud

Edwin Ricardo Mendez Rodriguez

Nicholas Jay Lefler

Matthew Jonathan Narksusook

Abhijit Dayakar

Desmond O'Neil Davis

Mete Polat

David Wayne Lasley

Pratibha Rawat

Jin Chen

Annie Mara

Greg Jones

Brian Perrault

John Stanley Dey Iv

Kevin Simmons

Peyman Hamed Sayed Hosseini

Lauren Chanen

Raymond Chen

Mark Drayer

Yan Li

Lawrence Jesper

Kunal Jethwani

Phil Kearney

Ganapati Pai

Rachael Bell

Daniel Chan

Pj Frederick

Jim Hung

Bobby Hejny

Niklas Lekselius

Kristen Coke

Gayatri Shandar

Arnie Bhadury

Enrique Ortiz

Ben Niewood

Kevin Winn

Spencer Ling

Jatnna Barrera

A connectivity monitor of a vehicle determines current and/or future states of antennas. A workload monitor of the vehicle receives execution criteria for different workloads to be executed. An intelligent connectivity engine at the vehicle receives the current and/or future states of the antennas and the execution criteria for the respective workloads. Based on the current and/or future states of the antennas and the execution criteria for the respective workloads, the intelligent connectivity engine assigns at least one of the respective workloads for current execution and at least another of the respective workloads for future execution. A client may use an intelligent connectivity service to configure various aspects of the vehicle connectivity. For example, the client can provide workload recommendation code for the intelligent connectivity engine to assign workloads for current or future execution.

Intelligent connectivity for vehicles

A system comprising one or more computing devices implements a vehicle analysis service, which generates logical instructions for deployment to a vehicle or a fleet of vehicles to implement in-vehicle data analysis in the vehicle or fleet of vehicles. Additionally, the vehicle analysis service and/or locally deployed analysis module provides updates based on newly learned trends in vehicle data or newly learned correlations for the vehicle or similarly situated vehicles. The vehicle analysis service and locally deployed analysis module enables analysis to be performed using detailed high-resolution vehicle data, without requiring large volumes of vehicle data to be streamed to a remote location for analysis. Also, the vehicle analysis service provides customized analysis modules that can perform local analysis using existing computing resources of the vehicle or the vehicles of the fleet.

Vehicle analysis service for providing logic for local analysis and additional remote support

A system comprising one or more computers implements a virtual domain control unit/virtual electronic control unit service configured to deploy vehicle code packages to one or more of a plurality of supported virtual domain control unit/electronic control unit orchestration environments, which include both a local orchestration environment and one or more remote orchestration environments. In such orchestration environments, virtual domain control units and/or virtual electronic control units are implemented that execute code included in the vehicle code packages. In some embodiments, such virtual domain control units or virtual electronic control units allow computing capacity and/or data storage capacity of a vehicle to be augmented via remotely implemented virtual domain control units and/or remotely implemented virtual electronic control units.

Virtual vehicle domain control unit (DCU) service and orchestration environments

A system comprising one or more computers implements a synthetic sensor service configured to deploy synthetic sensors to in-vehicle computing devices implementing an in-vehicle distributed computing environment. A synthetic sensor may be placed monolithically at a single computing device (e.g. ECU) in the vehicle, or may be modularly placed on multiple computing devices (e.g. multiple ECUs) of the vehicle that each have resources or inputs that the synthetic sensor requires. The modular components of the synthetic sensor may execute in a runtime environment of the in-vehicle distributed computing environment, such that the modular components function as a unified synthetic sensor even though they are placed on different computing devices of the vehicle (e.g. different ECUs).

In-vehicle distributed computing environment

A system comprising one or more computers implements a data retrieval interface. The data retrieval interface provides a unified schema definition language for data queries. Also the data retrieval interface implements a routing layer that applies default or custom prioritization parameters to select a data source from which to obtain data requested in a query from an application. The data retrieval interface may take into consideration connectivity, latency, costs, or other user specified parameters when selecting a data source and/or when selecting connection path to a selected data source to be used to obtain data in response to a query.

Data retrieval interface with request routing based on connectivity and latency to data sources

Growing community of inventors

New York, NY, United States of America

Michael Garcia