Applied Intuition enables scaled virtual testing for automotive advanced driver-assistance systems (ADAS) and automated driving (AD) systems. Ensure safer, faster, and more efficient development workflows to deploy next-generation software-defined vehicles and deliver value to customers.
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Industry trends

The development of automotive ADAS and AD systems, including eyes-on hands-off or eyes-off hands-off, is becoming more and more complex. Traditional validation approaches are linear and too slow to meet production timelines and identify issues early enough in the development process. Additionally, automakers and Tier 1 suppliers require large amounts of diverse data to train and validate ADAS and AD systems. Next-generation systems need to use newer and more advanced forms of machine learning (ML) to deliver specific functionality to customers. Ultimately, automakers need to deliver an acceptably safe system across an innumerable amount of test cases.

Applied Intuition’s approach

Applied Intuition’s integrated toolchain of simulation and data products enables entire programs to collaborate and speed up the safe development of automotive ADAS and AD technology. Teams can test active safety functionality across vehicle configurations, assess system behavior across scenarios in an operational design domain (ODD), validate automated parking systems, automated highway navigation, and more, and meet safety regulations for commercial deployment.
Iterative, simulation-first development approach
Utilize simulation to shorten the development loop—from writing code to virtual testing to real-world testing—from weeks to days. Reduce costly or even dangerous on-road testing.
Efficient utilization of real and synthetic data
Build a data engine for the next start of production (SOP) program. Convert relevant events into simulation tests for regression testing, and experiment with boosting perception performance by training with synthetic data.
Continuous development and validation for a robust safety case
Start to develop, validate, and ship one capability at a time. Embrace a platform that tracks results across testing environments to understand performance and start preparing a safety case early on.

Capability-driven development

Accelerate development and reduce engineering work by an average of one hour when creating test cases from recorded on-road issues with test-driven development workflows.
Improve the performance of on-road and parking computer vision functions with synthetic data, reducing costs associated with labeled on-road training data by up to 10%.
Enable developers to evaluate embedded code functionalities before ADAS compute hardware is available. Shorten the development lifecycle by about six months.

Coverage-driven testing

Reduce the rate of software defects with test management, test libraries, and system and ODD definitions that support traceability, coverage, and performance analysis across vehicle programs and features.
Identify critical scenarios and characterize performance across the scenario space with auto-sampling. Reduce the number of simulations required by 100x with an algorithm that surpasses traditional naive dense sampling.
Evaluate software across a spectrum of testing modalities, including model-in-the-loop (MIL), software-in-the-loop (SIL), and hardware-in-the-loop (HIL) with a multi-domain testing methodology.

Performance calibration

Evaluate system behavior comprehensively and employ simulation models correlated to real-world results, with real-time vehicle motion support designed for both SIL and HIL testing domains.
Facilitate the integration of OEM and supplier models of various actuators, including those associated with powertrain, brakes, and steering systems.
Implement an automated calibration system designed to generate baseline calibrations for control systems, eliminating the need for manual calibration by human operators. Reduce mileage accumulation by 90% during the calibration process and reduce vehicle program development by about three months.

Validation and certification

Implement an automated software release procedure encompassing the construction, testing, validation, and certification of new software delivered to vehicles, ensuring the integrity and reliability of software components.
Conduct continuous validation for each software release through simulation, reducing software integration defects detected during the final validation phase by 90%.
Integrate test automation into the software build system. Streamline the execution of test protocols against new software components, reducing the time required to generate design verification and functionality reports from ten engineering days to 30 minutes.


Enhance in-house capabilities

Utilize a user-friendly interface to streamline the validation process and improve the efficiency and accuracy of testing and simulation processes for automotive ADAS and AD systems.

Expedite development and validation

Accelerate the development and deployment of automotive ADAS and AD systems through diverse ODDs, software-enabled subsystems, system-level validations, and detailed insights. Ensure safety and reliability with continuous testing and assessments to minimize risks.

Build confidence for commercial deployment

Explore edge cases such as lane changes, lane merges, cut-ins, and on-off ramp activity, and vary environmental parameters such as time of day, residential, and highway road conditions for comprehensive testing to build confidence for future iterations up until final production.

“We chose to work with Applied Intuition because of its state-of-the-art simulation technology. We are comprehensively validating our system for various complex situations that could arise in the real world.”
Takao Asami
Senior Vice President

Get started with Applied Intuition for automotive

Learn how to develop, test, and validate ADAS and AD systems faster, more safely, and more cost-efficiently.
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