Open House 2019: These are the highlights

Get exclusive insights into a wide variety of possible applications of the CarMaker product family on March 19, 2019. Don’t miss exciting news on the following topics, features and more:


OpenDRIVE import and Scenario Editor improvements

The release 8.0 now enables you to import and use road networks directly from the OpenDRIVE format and, if required, subsequently process them using the Scenario Editor.

New hybrid powertrain models and transmission efficiency maps

We have evolved the powertrain model environment: In addition to new hybrid powertrain variants, it now also includes speed and torque dependent transmission efficiency for optimized analyses of consumption and emissions.

New vehicle dynamics models for electric vehicle development

Benefit from streamlined vehicle dynamics evaluations of hybrid and fully electric vehicles due to the automatic consideration and positioning of EV-specific individual masses in the chassis.

PLM integration and simulation data management

Our simulation software makes it easier for you to manage model parameters and test cases. This enables you to always supply the individual specialist departments with current and consistent data versions.

High-performance computing (HPC) with multiple GPUs and CarMaker in the cloud

The release 8.0 enables the parallel use of multiple GPUs. In connection with our GPU-based raw signal interfaces (RSI) for camera, radar, ultrasound and lidar technologies, for instance, this allows you to test the fusion of raw sensor data in real time – on your HPC system or in the cloud as well.

News about the TestBed product line for powertrain test beds

With our TestBed product line, we have combined our simulation software with a high-performance test bed interface for powertrain applications as well as the right process integration tools for the integration of virtual test driving into your test field.

Semantic segmentation to train AI-based systems

Manually extracting features and annotating image areas to train neural networks is time-consuming and prone to errors. With its new semantic segmentation function, the release 8.0 supplies the required “ground truth” information for visualization.

Model-based steering system analysis for automotive systems engineering

By advancing the technology of our Steering-in-the-Loop Test Bench in combination with new methods and services for the characterization and optimization of steering systems, we have established a basis for efficient systems engineering on the vehicle level.

Physical lidar sensor model

The sensor model Lidar RSI now completes the extensive sensor portfolio of our CarMaker product family. This new model in the Raw Signal Interfaces (RSI) class enables lidar sensors to be modeled in detail. Now our products offer you a counterpart for all your sensor technologies.