ADAS and Autonomous Vehicle Development

Man walking confidently and safely in front of an autonomous vehicle.

Autonomous vehicles and features can be deployed successfully only when they are safe, secure, and certified. However, we’ve discovered that teaching a computer to drive as safe or safer than humans is more complex than anyone predicted. As you venture deeper into the realm of advanced driver assistance systems (ADAS) and autonomous vehicles (AVs), Siemens provides a customized solution to help you innovate, optimize, and validate designs. With our powerful tools, you can leverage the functional digital twin, simulation, real-world recordings and our patented critical scenario methodology to accelerate the delivery of safe, secure, high-performing and compliant autonomous driving.

Autonomous vehicles and features can be deployed successfully only when they are safe, secure, and certified. However, we’ve discovered that teaching a computer to drive as safe or safer than humans is more complex than anyone predicted. As you venture deeper into the realm of advanced driver assistance systems (ADAS) and autonomous vehicles (AVs), Siemens provides a customized solution to help you innovate, optimize, and validate designs. With our powerful tools, you can leverage the functional digital twin, simulation, real-world recordings and our patented critical scenario methodology to accelerate the delivery of safe, secure, high-performing and compliant autonomous driving.

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Maximize the value of your ADAS and AVs

To determine which ADAS and autonomous driving features will add the most value to your project, you need to understand early in the development cycle if they can be incorporated safely, securely and efficiently into the electrical and electronics (E/E) architecture at hand without violating system constraints. By frontloading the design and optimization of these features with the functional digital twin, you can assess risk and make decisions about the required hardware, software, and relevant scenarios before the cost of engineering changes becomes prohibitive later in the development process. Additionally, the trustworthy models that comprise the functional digital twin establish traceability and enable you to virtually validate that 100% of requirements have been met before you begin physical testing

Deliver confidence in unknown and unsafe critical scenarios

Exposing your ADAS and AV systems to every unknown and unsafe situation is not possible, even while driving millions of miles. Yet, your system must be capable of perceiving, predicting, and reacting effectively at all times. With our solution for autonomous vehicle development, you can record, organize, and store real-world driving, including sensor readings, vehicle dynamics, and information about the environment. You can then transfer this data to the virtual world and discover additional unknown, unsafe scenarios using Siemens’ patented methodology, artificial intelligence (AI), and machine learning (ML) to expand your database and meet SOTIF requirements. And your engineers can work in the virtual environment to rapidly refine and test the sensors, algorithms, and controls that enable the system to sense, think and act appropriately.

Validate ADAS and AV designs virtually at every level

Autonomous vehicles need to perceive and connect with the environment to ensure safety for everyone in and around the vehicle. Our autonomous engineering software enables a complex web of validation that spans all internal and external systems interacting with the vehicle. You can run a selection of tests in real-time across multiple levels of simulated environments such as software in the loop, hardware in the loop, driver in the loop, and vehicle in the loop, each aimed at testing specific vehicle systems. Insights captured during validation can be fed back into the design to enable continuous improvement. Our ADAS and AV development solution delivers compliance and safety by empowering you to verify that your design meets requirements and goals and validate that your final product works as designed.

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On-Demand Webinar | 36 minutes

Validation and verification of physics-based sensor simulation

Physics-based sensor simulation, verification, and validation for autonomous vehicles

Physics-based sensor simulation supports road safety and comfort

Watch the webinar