To reduce noises inside a vehicle, it is essential to identify the most dominant transfer path from sound sources outside the cabin to the passenger’s ears inside the cabin. While driving, this is difficult to accomplish, due to the large number of reflections in the car. Using 4Silence’s new technology, as implemented in the Sonocat measurement device, Mercedes-Benz and 4Silence could quickly localize noise leaks, as the Sonocat is able to differentiate between the source and its reflection. The experimental facilities and experts of Mercedes-Benz enabled 4Silence to increase their experience in the automotive industry. 

The joint pilot project with Mercedes-Benz Korea’s IT and related departments intends to find ways to digitize offline-based services to potential customers and vehicle owners of Mercedes-Benz in order to provide higher convenience. The pilot project, which utilizes Deepfine’s XR and deep learning technology, is a prototype of a platform that allows customers to receive sophisticated vehicle information and services such as digital, user-customized manuals or the visit of an XR showroom anytime, anywhere regardless of time and space. This versatile digital solution could be implemented in older and new Mercedes-Benz models. 

** **Automotive product development lifecycle times are getting shorter, whilst complexity is getting higher. Mercedes-Benz has partnered with Monolith to use AI in product development, to allow their engineers to predict and evaluate the performance of multiple designs in a matter of minutes. Along with this, the teams are investigating the use of AI models on 3D geometry to further their efforts in generative design.

In order to verify the acoustic tightness of a car cabin fast and reliably, Mercedes-Benz has teamed up with Austrian high-tech startup Seven Bel to evaluate sound imaging technology. The team is working on determining its potential use in both product development and quality control. The next step will be to deploy the measurement system in verification testing of prototypes. 

Analysis of the vehicle production process requires information from multiple sources combined. Mercedes-Benz integrated various data silos, such as production planning, observation data and reporting data, using knowledge graph technology. Spinque’s software allowed to rapidly design solutions on top of this knowledge graph to support day-to-day tasks. 

Mercedes-Benz teamed up with the German startup Ventus to back up the long-distance drive of the Mercedes-Benz VISION EQXX with wind forecasts. The Ventus wind analyses provided important insights in the preparation of the VISION EQXX's record-breaking voyage and its daily forecast served as a decision-making aid for determining the day of a successful road trip from Sindelfingen, Germany to Nice, France. In the future, the “Wind on Roads” forecasts could provide more accurate wind data for the route ahead, and thus make intelligent navigation even more powerful.