Scene Intelligence with Rosbag on AWS

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

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

Streamline data management

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

Increase developer efficiency

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

Simplify deployment

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

Technical details

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

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).

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Use cases for this AWS Solution
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Deployment options
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Deploy this solution by launching it in your AWS Console

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