From ADAS to automated mobility and autonomous driving

In-vehicle software is a fact of automotive life. With more and more of it in cars, developers are facing unprecedented technological challenges brought on by rising unpredictability and complexity. The challenges at SAE Level 3 and higher are particularly daunting. We can help you tackle these challenges at an early stage with our end-to-end, model-based systems engineering service. Our experts unify system design and validation in one iterative process. Hence the development effort focuses very much on the left side of the V-model. Kicking off every project with probing analyses and a structured approach, we mitigate the risk of expensive revisions in the validation phase.

What we do at a glance:

• Domain analysis
• Requirements engineering
• Model-based systems engineering (SPES2020, Harmony)
• Functional safety & cyber security

Highway pilots, parking assistants, traffic sign recognition, and other assisted and highly automated driving functions are more growing more and more complex – and smarter to boot. To develop and tailor these innovative functions and solutions to your needs, we draw on our vast reservoir of experience and expertise throughout the sense-think-act chain.

What we do at a glance:

• Sensor fusion
• Localisation and mapping
• Data classification (surface, objects, people)
• Driving functions & vehicle control
• Development up to ASIL-D / Automotive SPICE compliant

New integration, verification, and validation challenges are emerging with trending central E/E architecture. Various software components, some from different vendors, and interfaces to cloud services and HMI have to be integrated, verified, and validated on the central computer. As an platform-independent partner, we can help you with software integration at every level from applications and platforms to the central computer. On demand, we can also develop a tailormade integration environment based on the CI/CD toolchain.

What we do at a glance:

• Integration at all levels
• Verification & validation
• Development of a custom, CI/CD-based integration platform CI/CD
• Supplier management

The hurdles to partially and highly automated driving systems’ approval for public roads are still high. Verification and validation are among the most difficult challenges. This is all about the answering the question of whether a highly automated or self-driving car really is safe. V&V involves countless test scenarios, many of them critical, which makes this such a very complex task. This is why we use smart tools to identify critical test cases – for example, search-driven methods in combination with virtual verification and validation – in the early development stages. Our holistic test strategy serves to pinpoint errors at an early stage to mitigate risks and lighten the workload at the latter stages of the development process.

What we do at a glance:

• Conduct scenario-based tests with search-driven methods
• Model/ simulate road users in a virtual environment
• Render physical effects in a virtual environment
• Develop and implement test strategies
• Advise you on test and release strategies and other key concerns