Around 3,000 software employees are currently working at AVL to make the car of the future virtually fit for the road and thus more environmentally friendly. They work independently of time and location in the digital space. The collected data from simulation and testing flow together in the cloud and can be evaluated and utilized with maximum efficiency. To this end, both partners contribute the latest technologies in the field of artificial intelligence. This enables targeted optimization at an early stage of development. Also with regard to the CO2 footprint – for example in battery production. Thanks to high transparency and the evaluation of real-time data, a shorter time to market can be achieved.
The cloud-based approach enables broad integration of AVL’s software tools. These are available to global development teams, including manufacturers, anytime, anywhere, thanks to the Software-as-a-Service model. This enables simultaneous access for all, fostering collaborative and innovative solutions as part of an open development process. Even with limited memory or computing power in engineering, simulation or testing, there is no need to invest in new hardware capacity. The integration of High Performance Computing (HPC) complements this approach and takes it to a new level. HPC makes it possible to handle computationally intensive tasks without the limitations of physical hardware capacities. This not only contributes to the scalability and efficiency of software testing, but also enables parallel execution.
Sustainability as a key objective: Working together for greener mobility
The strategic partnership between AVL and Microsoft is a milestone on the way to greener and more sustainable mobility. It combines AVL’s extensive automotive development expertise with Microsoft’s innovative cloud and AI technology to create sustainable solutions. But AVL and Microsoft’s efforts go beyond creating technological solutions. The partnership aims to revolutionize the automotive industry while addressing environmental challenges. This ambition is fueled by a common goal: to pave the way to more sustainable and greener mobility.
The seamless integration of artificial intelligence not only brings accelerated development processes and optimized resource efficiency, but also makes a significant contribution to reducing the carbon footprint. This innovative approach unfolds particularly in the field of Advanced Driver Assistance & Autonomous Driving Systems (ADAS/AD). Here, the integration of artificial intelligence opens the door to important advances in the development of advanced technologies for automated driving. Advanced Driver Assistance includes a wide range of technologies that support drivers in driving, such as lane departure warning systems, automatic braking and adaptive cruise control.Autonomous Driving Systems go one step further by aiming to control the vehicle autonomously, i.e. without human intervention. These technologies have the potential not only to increase the safety and comfort of passengers, but also to optimize traffic flow and reduce fuel consumption.
However, progress is not limited to these measures alone -generative AI is coming to the fore. This innovative form of AI is gaining outstanding importance by generating entirely new content, data and scenarios from existing information. Especially in the context of ADAS/AD, generative AI unfolds its capabilities particularly in the creation of highly realistic simulations and scenarios for autonomous driving. In this process, real-world data and conditions are cleverly fused to create realistic environments in which advanced driving technologies can be tested and refined. This innovative approach is revolutionizing the development, validation and optimization of autonomous driving systems and paving the way for future-oriented mobility that is not only safe and efficient, but also sustainable.