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AWS Solutions Library

Scene Intelligence with Rosbag on AWS

Generate searchable, scenario-based data for autonomous vehicle model training and simulation

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Overview

Scene Intelligence with Rosbag on AWS is purpose-built to help streamline the development process for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV). The solution features modules for sensor extraction and object detection, helping machine learning engineers and data scientists to accelerate scene search for model training.

You can use this solution to stage sample rosbag files, extract rosbag sensor data such as metadata and images, apply object detection and lane detection models to the extracted images, as well as apply and store scene detection business logic.

Benefits

    Scalable, flexible data pipelines that reliably ingest, transform, label, and catalog billions of miles of real or simulated data.

    Greater accessibility for global teams to search, identify, and analyze automotive data.

    Reduce the number of dependencies and prerequisites with open-source configuration options.

How it works

You can automatically deploy this architecture using the implementation guide and the accompanying AWS CloudFormation template.

View the implementation guide

About this deployment

  • Version: 1.0.2

  • Released: 5/2024

  • Author: AWS

  • Est. deployment time: 100-120 mins

  • Estimated cost: See details

Deploy with confidence

Everything you need to launch this AWS Solution in your account is right here

We'll walk you through it

Get started fast. Read the implementation guide for deployment steps, architecture details, cost information, and customization options.

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Let's make it happen

Ready to deploy? Open the CloudFormation template in the AWS Console to begin setting up the infrastructure you need. You'll be prompted to access your AWS account if you haven't yet logged in. 

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Related content

Guidance for Autonomous Driving Data Framework on AWS

This Guidance demonstrates how customers can process and search high-accuracy, scenario-based data with the Autonomous Driving Data Framework (ADDF).

Read more

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