Scenario creation

Create scenarios from synthetic data, real-world drive logs, or natural language to improve advanced driver-assistance systems (ADAS) and automated driving (AD) systems.
See the workflow
"Working with Applied Intuition has helped May free up engineering time to build better autonomy capabilities.”
Edwin Olson
Co-Founder and CEO

Customer challenge

Ensuring that an ADAS or AD system can navigate all situations in its operational design domain (ODD) can be a challenging and labor-intensive process.
Larger amounts of scenarios are needed as programs mature
Difficulty reproducing issues deterministically
Need to validate new stack versions

Applied Intuition’s solution

Applied Intuition’s solution gives ADAS and AD teams the ability to create and generate diverse scenarios, test systems against them at scale, analyze performance, and understand what improvements are needed.
Pre-defined scenarios for regulatory and ODD coverage
Create or generate scenarios with GUI tools, parameter-based approaches, or natural language to scale coverage and create specific test cases
Virtually test an ADAS or AD stack with object- and sensor-level simulation
Ingest and automatically flag events via re-simulation
Run thousands of scenarios at scale
Ensure that an ADAS or AD system does not regress in the future

Use simulated scenarios to identify issues and improve ADAS and AD performance

01

Obtain scenarios

Jump-start your scenario creation process with pre-defined scenario suites. Seamlessly run simulation tests out of the box.
02

Create custom scenarios

Create or generate object-level and sensor-level scenarios with GUI tools, parameter-based approaches, or natural language to test your motion planning and perception stack in simulation. Define evaluation criteria and metrics that test your system’s performance.
03

Create scenarios from drive logs

Run new versions of your stack against known issues in logs to ensure issues uncovered in field testing have been fixed.
04

Validate improved performance

Run scenarios in continuous integration (CI) to prevent regressions.

Use simulated scenarios to identify issues and improve ADAS and AD performance

01

Obtain scenarios

Jump-start your scenario creation process with pre-defined scenario suites. Seamlessly run simulation tests out of the box.
02

Create custom scenarios

Create or generate object-level and sensor-level scenarios with GUI tools, parameter-based approaches, or natural language to test your motion planning and perception stack in simulation. Define evaluation criteria and metrics that test your system’s performance.
03

Create scenarios from drive logs

Run new versions of your stack against known issues in logs to ensure issues uncovered in field testing have been fixed.
04

Validate improved performance

Run scenarios in continuous integration (CI) to prevent regressions.

Identify and resolve issues at scale

Comprehensive virtual testing

Test each and every component of your stack individually, or test the full stack altogether.

Increase team efficiency

Understand performance quickly, and triage issues with an automated pipeline.

Build confidence

Ensure that issues are resolved, and validate the robustness of future stack versions.

Frequently asked questions

What is scenario creation in the context of ADAS and AD development?
How does scenario creation simulate real-world conditions for ADAS and AD testing?
How do advancements in AI influence scenario creation for ADAS and AD systems?
In what ways can scenario creation accelerate the development cycle of ADAS and AD?
What methodologies help ensure diverse scenario coverage including edge cases?

Get started with scenario creation

Learn how scenario creation can accelerate ADAS and AD development.
Contact us