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Training
Developing Advanced In-Vehicle Cloud Service Applications Using the AWS Connected Mobility Solution and the NXP S32G Processor

Developing Advanced In-Vehicle Cloud Service Applications Using the AWS Connected Mobility Solution and the NXP S32G Processor

About This Training

Connected vehicles bring new and better driving experiences with safer rides, smoother traffic flows and optimized energy consumption. However, connected vehicles services need more extensive data transfer capacity through improved network architectures and robust computing infrastructures. AWS IoT Greengrass extends AWS to edge devices to act locally on the data they generate, while still using the cloud for management, analytics and durable storage.

AWS IoT Greengrass collects, consolidates, models and reports telemetry and derived metrics to the cloud and initiates local action based on that data. AWS IoT Greengrass acts as the central control point for in-vehicle software, local machine learning inference and manages the publication of data to the cloud over brittle and intermittent network connections. This architecture forms the basis for building systems using the S32G vehicle network processor that delivers insight into vehicle and driver operations, enabling new business models for OEMs and fleet management.

Presentation

Developing Advanced In-Vehicle Cloud Service Applications Using the AWS Connected Mobility Solution and the NXP S32G Processor

What You Will Learn

Understand the advantages of deploying Machine Learning inference to the vehicle edge
Get a general overview of the business opportunities made possible with single-vehicle usage data and insights, including some cues on potential improvements in Fleet Management by aggregating data
See how the AWS IoT Greengrass forms the control plane for in-vehicle software through a live-demo deploying and managing functions and containers on the vehicle ‘edge’ compute platform

Presented by

Scott Francis
Solutions Architect, Amazon Web Services

DURATION

59 min

LANGUAGE

English

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Additional Resources

S32G Processors for Vehicle Networking

S32G Reference Design for Vehicle Network Processing

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