ADAS and Autonomous Driving

Developing and deploying Advanced Driver Assistance and Autonomous Vehicle Systems requires the ability to collect, store and manage massive amounts of data, high performance computing capacity and advanced deep learning frameworks, along with the capability to do real-time processing of local rules and events in the vehicle.

AWS provides a full suite of services to support Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicle development and deployment. AWS' nearly unlimited storage and compute capacity and support for deep learning frameworks such as Apache MXNet, TensorFlow and PyTorch accelerate your algorithm training and testing. AWS Greengrass provides edge computing with machine learning inference capabilities for real-time processing of local rules and events in the vehicle while minimizing the cost of transmitting data to the cloud.

TuSimple uses AWS to build a L4 autonomous driving system with industry leading perceptual distance.

Benefits

Benefit 1

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Benefit 2

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Benefit 3

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Benefit 4

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Hot topic

Toyota Research Institute accelerates safe automated driving with deep learning on AWS

“Using the AWS Cloud and specifically Amazon EC2 P3 instances, we’re able to build a scalable and highly performant applications stack to efficiently handle and process the huge amount of data that we collect.”  

- Mike Garrison, Technical Lead, Infrastructure Engineering, Toyota Research Institute

Use cases

  • AV Development
  • AV Development
  • Autonomous Vehicle Development

    AWS’ highly scalable storage and compute services and advanced deep learning frameworks allow for the collection, ingestion, storage and anlalysis of autonomous vehicle data to support full-scale autonomous vehicle development.

    product-page-diagram-AWS-for-Automotive_autonomous-vehicle-development

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Case studies and resources

TuSimple

TuSimple built their autonomous driving platform using sophisticated deep learning algorithms developed with Apache MXNet on AWS. TuSimple has used AWS to simulate billions of miles of driving.

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HERE

HERE uses the scalability, reliability, and global reach of the AWS platform to deliver its HD Live Maps and connected-car solutions to customers around the world.

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Drive.ai

DriveAI creates AI software for autonomous vehicles using a deep learning first methodology. AWS provides them the ability to seamlessly scale as their business grows, and the capability to handle their high performance computing demands.

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nuTonomy

nuTonomy makes software to build self-driving cars and autonomous mobile robots. AWS enables them quickly provision compute resources, deploy new features, and add IT resources on demand.

 


Get started

Automotive companies of all types and sizes, from global automakers to startups rely on AWS. Contact our experts and start your own AWS Cloud journey today.