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 IoT 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 - Advanced Development, Inc developed an  automatic map generation platform using AWS serverless architecture in just two months

"The ease with which AWS services could be speedily developed and expanded with scalability plays a fundamental role in the creation of an open automatic map generation platform. We plan for the platform to be used by both Toyota vehicles and 3rd party partners." 

- Mandali Khalesi, Toyota Research Institute - Advanced Development, Inc. | Automated Driving VP

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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Toyota Research Institute

Toyota Research Institute uses Amazon EC2 P3 instances to efficiently handle and process the huge amount of data they collect, helping accelerate development of their automated driving systems.

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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.