Applied Intuition enables scaled virtual testing for autonomous trucking systems. The evaluation of complex systems in virtual environments ensures safer, faster, and more efficient development workflows for edge case testing, modeling highway interactions, analyzing disengagement events, and building a safety case for commercial trucking deployment.
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Industry trends

Just as the automotive industry is in the midst of a transformation across electrification and autonomy, the trucking industry is experiencing similar disruptions. It can be difficult to account for every possible scenario and edge case a truck may encounter on the road. Extensive testing is required for new software releases, making the development process costly and time-consuming. Finally, considering operational design domain (ODD) cases can be an obstacle due to the challenges arising from vastly different environments.

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 autonomous trucking technology. Teams can share simulation environments, assets, and test data across development and on-road testing environments, laying the foundation for rapid, continuous safety and performance evaluation of long-haul, mid-mile, and off-road trucking programs.
Scaled virtual validation
Empower teams to iteratively build and deploy software faster without compromising safety, with workflows to thoroughly evaluate code changes, automatic regression testing to prevent safety issues in the field, and tools to quickly debug failures and defects.
Continuous validation workflows
Iteratively define system capabilities, ODD, and test coverage as your program progresses. Use tools to automatically explore a scenario space and generate effective test coverage.
Safety and performance evaluation
Thoroughly assess software performance and readiness, and build safety argumentation by integrating simulation, track, and on-road data with requirements, test coverage, and system definition artifacts.

Synthetic simulation and re-simulation

Generate a diverse set of synthetic scenarios that encompass a spectrum of driving conditions, environmental factors, and unexpected events. Ensure thorough testing of a system’s response in challenging and uncommon situations.
Utilize re-simulation to recreate real-world scenarios, using data collected from various driving conditions to understand what might have happened.
Re-simulation enables the replication of specific scenarios encountered during real-world testing, allowing for precise analysis and validation of the system’s performance.

Improvements and regressions

Incorporate monitoring systems, collect real-time data during testing and validation processes, and allow tracking through comprehensive metrics. Analyze metrics to provide insights into system behavior, identify deviations, and reveal potential regressions.
Integrate automated regression testing into iterative development cycles, ensuring rapid identification and resolution of potential issues.

Subsystem- and system-level validation

Explore the intricacies of subsystems with precision. Conduct thorough assessments and fine-tune subsystem performance for optimal results.
Gain a holistic view of the entire system’s functionality through system-level validation. Utilize dashboards to facilitate integration testing and identify any inter-component issues.


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 autonomous trucking systems.

Expedite development and validation

Accelerate the development and deployment of autonomous trucks through diverse ODDs, software-enabled subsystems, system-level validation, and detailed insights. Ensure safety and reliability with continuous testing and assessments to minimize risks.

Build confidence before commercial deployment

Explore edge cases such as trailer-hitch capabilities, safe merges, and lane changes. Vary environmental parameters such as time of day, residential, and highway road conditions for comprehensive testing to build confidence for future iterations up until commercial deployment.

“The Applied Intuition team has demonstrated their expertise and has equipped us with tools to accelerate the safe development of commercial trucks in a financially viable way.”
Michael Fleming
CEO and Founder

Get started with Applied Intuition for trucking

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