The single source of truth for storing, cataloging, and searching Autonomous Vehicle data.
Benefits
De-risk cost of development
Scalable, flexible data pipeline
Increase developer efficacy
Gain knowledge
Autonomous Driving Data Lake
Build an MDF4/Rosbag-based data ingestion and processing pipeline for Autonomous Driving and Advanced Driver Assistance Systems (ADAS).
AWS services in this solution
Customer stories
Learn how AWS customers use highly scalable storage, deep learning, and edge computing capabilities to power ADAS and Autonomous Driving development and deployment.

Paving the Way Toward Automated Driving with BMW Group
See how BMW Group collects 1 billion+ kilometers of anonymized perception data from its worldwide connected fleet of customer vehicles to develop safe and performant automated driving systems.
All Things Automotive: Data Lakes with BMW
Explore the BMW Cloud Data Hub, and how BMW and AWS have teamed up to accelerate data-driven innovation enterprise-wide.

Momenta Accelerates Autonomous Driving Technology with AWS
Momenta quickly built a prototype with AWS IoT services for the mass production of autonomous driving solutions and verified the feasibility of the design in only two weeks.
Resources

Building an Autonomous Driving and ADAS Data Lake on AWS
This blog post explains how to build an Autonomous Driving Data Lake using this Reference Architecture.

Building an Automated Scene Detection Pipeline for Autonomous Driving – ADAS Workflow
This blog describes how many OEMs face the challenge of ingesting, transforming, labeling, and cataloging massive amounts of data to develop automated driving systems.

Deploying Autonomous Driving and ADAS Workloads at Scale with Amazon Managed Workflows for Apache Airflow
This blog defines a workflow that processes ROS bag files on Amazon S3, and extracts individual PNGs from a video stream using AWS Fargate on Amazon Elastic Container Service (Amazon ECS).
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