Map creation for simulation

Create synthetic maps for autonomous vehicle (AV) validation and generate 3D worlds for sensor simulation.

“Meridian is an intuitive tool that allows us to quickly create virtual twins of our operating sites and leverage simulation to uncover issues before deployment.”

Max Ahlberg
Team Lead and Autonomous Drive Engineer at Einride

Customer challenge

Testing AVs 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’s solution

Applied’s map creation solution allows teams to create error-free, fully synthetic maps and 3D worlds to test their AV stack comprehensively.

Create fully synthetic maps to test edge cases

Easily create road networks and add objects from an asset library

Validate the map to ensure it is error-free

Generate 3D worlds for perception testing

Workflow

Leverage synthetic maps for AV validation

01

Create a road network

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

Meridian

02

Make procedural edits

Place various objects throughout the map, such as trees, signs, and obstacles.

Meridian

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.

Meridian

04