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.
  • Toyota Research Institute
  • Voyage
  • Toyota Research Institute
  • TRI-AD_logo_250x169

    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

  • Voyage
  • Voyage
    Voyage, an autonomous vehicle (AV) startup based in Silicon Valley, is building the technology and services to bring autonomous transportation to those who need it most, beginning in retirement communities. To develop, manage, and accelerate their AV development process, Voyage has been working with Applied Intuition (Applied) and Amazon Web Services (AWS). Leveraging Applied’s solution deployed on AWS, Voyage is able to quickly test and iterate on hundreds of drive scenarios and thousands of permutations. This enables them to debug and validate their autonomy software, while also ensuring that code changes are additive and the overall functioning of their AV stack is maintained. As a result, Voyage has reduced expensive on-road testing to validate software fixes and has accelerated their AV development cycle by 25%. This, in turn, has enabled Voyage to scale up operations rapidly, from a retirement community in San Jose with 4,000 residents to a retirement city in Florida with 125,000-residents, in less than two years.
     
    “We have access to the world’s best simulation environment powered by Applied Intuition and AWS. We test hundreds of scenarios and thousands of permutations on every code change. There are very few ways to accelerate engineering 10x, but this is one.”
     
    - Oliver Cameron, Co-Founder & CEO, Voyage

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

Lyft

Lyft increases simulation capacity and lowers costs using Amazon EC2 spot instances to improve performance and safety of its self-driving system.

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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.

 

Momenta

Momenta is positioned to build an autonomous driving brain. Its core technology is deep learning-based environment perception, high-precision maps, and driving decision-making algorithms. Momenta's products include different levels of autonomous driving solutions and derived big data services.

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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.