Going all the way, we deal with safe driving functions, from start to finish. And we do that for so-called functional prototypes, or for the hundreds of thousands of series production embedded systems in various vehicle platforms. To put it in a nutshell, we…
We use our “safe driving” functions and algorithms to predict potential danger situations at an early stage and to prevent a normal driving situation from turning into a threatening accident situation. Drivers receive information regarding danger spots on their route and in their surroundings and are assisted through various driving maneuvers such as lane changing or turning. External sensors and swarm information are utilized to represent and interpret the driving environment.
Our “accident avoidance” solution detects traffic situations that would develop into an accident without actively intervening in the vehicle dynamics. By using crash probability and timeframe calculations for example, avoidable vehicle movements can be activated in the form of automatic braking or steering intervention, thus making it possible to prevent accidents or reduce their severity.
In the area of “protection” we develop functions, methods and tools to provide the best possible protection to vehicle occupants and other traffic participants in case of an accident. These range from accident severity prognoses and predicting the repercussions of an accident with the help of human models based on finite element methods (FEM), to developing and assessing the effectiveness of novel, intelligent protection systems. This in turn is based on activities such as data analyses/ data science from our accident research, which we rely on to create an understanding of how accidents originate and the injury mechanisms at work.
The area of “care afterwards” revolves around securing the accident site and the optimal rescue chain. Because it can come down to a matter of seconds, we provide as much relevant data as possible when an accident occurs. This can be helpful for emergency services personnel who receive an automated emergency call with information such as the location and severity of the accident and number of occupants. With Car2X technology and connected functions, we create messages warning other traffic participants of the dangerous situation on their route. Our accident research team records the accident and uses the information to supply important findings for further optimizations and if appropriate, new products.
To find out whether and how we can support you with your challenges, you can talk directly to our experts – or take our quick check in advance.
In the engineering sector, we at VAIVA have specialized in developing innovative solutions that meet the future requirements of the automotive industry. Our team combines vehicle data with information from modern environment sensors such as radar, LiDAR and cameras in order to detect dangers at an early stage and activate protective systems if necessary – for example, in case of an imminent collisions. Artificial intelligence (AI) is playing an increasingly decisive role in this. With our expertise, we offer comprehensive solutions that increase both efficiency and safety in road traffic.
Our engineering approach is based on tailor-made and uniform methods and processes that have proven themselves in algorithm and software development. At VAIVA, we rely on the early use of simulation techniques to deepen system understanding and ensure ASIL-compliant implementation. With tools such as the SceneInspector for incremental probabilistic simulations and frameworks such as the Automotive Data and Time-Triggered Framework (ADTF), we ensure that our solutions are continuously optimized. This enables us to meet the high standards and norms in the automotive industry and to ensure the quality of our developments.
An essential part of our development is the continuous testing and validation of all components and systems. Our expertise extends across the entire chain – from simulation to the validation of complex vehicle functions. Using methods such as software-in-the-loop (SiL), hardware-in-the-loop (HiL) and holistic test approaches (XiL), we ensure that all safety-relevant functions comply with the normative requirements, in particular ISO 26262. To this end, we continuously refine and optimize our processes and carry out internal and external audits. We look forward to working with you to develop groundbreaking solutions that will make the mobility of the future safer and more efficient.
With us, you are not only a passenger, but also turn the virtual steering wheel yourself. You shape and leave traces. Ready and eager to help us solve the difficult technological issues?
We develop various customer functions within the framework of the 360° protection feature. For predictive front protection, automatic braking addresses various scenarios in parallel and cross traffic situations. Rear surveillance enables warnings when vehicles are stopped or parked, but also during lane changes. The local hazard warning warns the driver of danger spots and dangerous situations at an early stage on the basis of V2X direct communication with other road users, while proactive occupant protection only intervenes in accident situations. The interaction of potential crash prognoses between active and passive safety rounds out the portfolio.
Does the function really work like it is designed to? Or do we need to make a small change here or there? To find out, we utilize the virtual test drive system. This project combines the virtual world, the virtual vehicle and virtual people in order to influence the development of driver assistance systems at a very early stage. That way we help to make the development of tomorrow’s systems more efficient and faster.
APM is a project with results that are employed in many areas. Relying on our experience in the field of active and passive safety and autonomous driving, we continuously develop the process model that ensures our project activities comply with ASPICE. We then use this as a foundation to provide consulting services and put our customers within the VW Group in a position to design their processes in accordance with norms and by taking into account specific requirements such as functional safety. Apart from creating and improving processes, we also find suitable methods in order to guarantee the best possible project results.
The front camera serves as the basis sensor for a wealth of driver assistance functions such as automatic emergency braking, lane change assistants or traffic sign detection. The broad range of functions demands a high level of quality and performance, especially highly-automated driving, which calls for extensive testing depth and quality analyses. To ensure this happens, we continually test the image processing aspects during the development phase. This involves carrying out customer acceptance testing of the image processing software and the corresponding perception modules (lane/ vehicle/ pedestrian detection…), which allows us to issue release recommendations or rectify any problems.
