自動駕駛汽車開發

Multidisciplinary collaboration ensures that different teams can work together to validate that your design functions perfectly across systems, subsystems, and external environments. The functional digital twin is composed of accurate engineering models, where you can capture and update targets, requirements and scenarios to-

• Establish full traceability and verification coverage.
• Define vehicle goals and functionalities upfront to maximize autonomous features.
• Make better decisions about hardware, software and relevant scenarios.

There isn’t enough time or money to capture all unsafe scenarios using real-world recordings alone. Elevate the most applicable information while discounting irrelevant data to speed up development and ensure AD system compliance with solutions that help you—

• Optimize the behavior of your autonomous systems.
• Annotate and organize real-world recordings.
• Create new scenarios by adjusting parameters and adding actors to scenes in a digital environment.

Before autonomous vehicles can be deployed on the road, you must be confident they will perform flawlessly in every situation. Establish maximum active and passive safety and full regulatory compliance by leveraging a closed-loop verification and validation process to—

• Deliver safe autonomy and accelerate certification.
• Verify requirements and validate that they are being met.
• Reduce the risk of real-world failures by testing virtually against a growing database of critical scenarios.