Map creation for simulation

Create synthetic maps for advanced driver-assistance system (ADAS) and automated driving (AD) validation and generate 3D worlds for sensor simulation.
See the workflow
“Map Toolset is an intuitive product that allows us to quickly create virtual twins of our operating sites and use simulation to uncover issues before deployment.”
Max Ahlberg
Team Lead and Autonomous Drive Engineer, EINRIDE

Customer challenge

Testing ADAS and AD systems in the real world can be slow, costly, and at times dangerous. Simulation tools help solve these issues, but they require error-free, high-quality maps to ensure realistic scenarios.
Map edge cases are difficult to find in the real world
Tests might require specific, isolated map conditions
Synthetic maps can have manual errors and missing road features
2D maps are insufficient for perception testing

Applied Intuition’s solution

Applied Intuition’s map creation solution allows teams to create error-free, fully synthetic maps and 3D worlds to test their ADAS or AD stack comprehensively.
Create and generate fully synthetic maps to test edge cases
Easily create road networks and add objects from an asset library using GUI tools or natural language
Validate the map to ensure it is error-free
Generate 3D worlds for perception testing

Utilize synthetic maps for ADAS and AD validation

01

Create a road network

Create a fully synthetic road network using GUI tools or generative AI, or import and augment an existing map. Visualize real-world data and recreate specific areas using custom imagery and lidar point clouds.
02

Make procedural edits

Use GUI tools or natural language prompts to scalably place various objects, such as trees, signs, and obstacles, throughout the map.
03

Validate your map

Run algorithmic checks to ensure your map is high-quality, error-free, and usable in simulation. Save time with pre-built checks or write your own custom checks.
04

Generate 3D worlds

Create 3D worlds to train your perception system in sensor simulation.
05

Create scenarios or export maps

Build or generate scenarios using the created maps, or export maps to formats like Apollo and OpenDrive for later use.

Utilize synthetic maps for ADAS and AD validation

01

Create a road network

Create a fully synthetic road network using GUI tools or generative AI, or import and augment an existing map. Visualize real-world data and recreate specific areas using custom imagery and lidar point clouds.
02

Make procedural edits

Use GUI tools or natural language prompts to scalably place various objects, such as trees, signs, and obstacles, throughout the map.
03

Validate your map

Run algorithmic checks to ensure your map is high-quality, error-free, and usable in simulation. Save time with pre-built checks or write your own custom checks.
04

Generate 3D worlds

Create 3D worlds to train your perception system in sensor simulation.
05

Create scenarios or export maps

Build or generate scenarios using the created maps, or export maps to formats like Apollo and OpenDrive for later use.

Develop ADAS and AD systems safely and efficiently

Save time and money

Reduce your reliance on expensive and time-consuming real-world testing. Easily validate your system using synthetic maps.

Evaluate your system effectively

Test your AV system comprehensively. Identify edge cases and areas that rarely occur in the real world.

Build with confidence

Ensure the quality of your synthetic maps with pre-built checks, and validate they are error-free and realistic.

Frequently asked questions

What are the primary advantages of using synthetic maps for ADAS and AD validation?
How does map creation for simulation contribute to the accuracy of ADAS and AD testing?
How do synthetic maps contribute to the identification and analysis of edge cases in AD systems?
How can synthetic maps be customized to meet specific testing needs?
How does the creation of 3D worlds for sensor simulation enhance perception system training?

Get started with map creation

Learn how to create synthetic maps and generate 3D worlds for simulation.
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