Enabling the software-defined future

Software-defined vehicles (SDVs) shift the focus from hardware to software as the core enabler of vehicle function and user experience. Nowadays, software defines the characteristics of a car more than the hardware itself. This application area targets the development, testing, and validation of in-vehicle software. As frequent updates become standard, seamless integration, testing, and development workflows are essential. CarMaker and VIRTO support agile, continuous processes – despite the growing complexity and diversity of ECUs and software platforms.

Virtual prototypes and
scenario generation

Generate virtual prototypes and realistic driving scenarios early in the development process with CarMaker
Model complex ECU and sensor setups, including driver interaction and support for over-the-air updates
Detect issues early and iterate faster without relying on physical prototypes

Centralized, traceable data flows for SDVs
VIRTO as a data management and workflow platform
Simulation and technical integration provided by CarMaker
Seamless connection of CarMaker and VIRTO enables scalable collaboration, consistent test configurations and efficient workflows

Vertically integrated toolchain supports seamless testing throughout the entire development cycle from MIL to VIL
Test software in virtual, mixed or real environments
CarMaker and VIRTO provide the flexibility and automation needed for rapid testing, even as software complexity grows

Reliable insight into software performance with full traceability
Consistent test cases and validation across iterations
High quality and safety compliance
Early and efficient issue detection and validation against virtual and real-world benchmarks

Use cases

Virtual vehicle development for complex software architectures: Simulation and test automation with VIRTO

Modern vehicles are increasingly regarded as software-defined due to the growing complexity of their software architecture. This particularly applies to driver assistance systems and autonomous driving functions. Real-life tests have been reaching their limits. Virtual vehicle development methods – such as SIL simulation in the cloud – enable comprehensive tests across all scenarios. Tools such as VIRTO facilitate access to the simulation, manage data and support various test methods. This significantly reduces the development effort and efficiently integrates OTA updates.

Validation of camera-based driver assistance systems for motorcycles using hardware-in-the-loop simulation

Most modern motorcycles still do not have a camera- and radar-based driver assistance system – but demand is growing. Rather than developing new sensors, sensors already being used in the automotive sector are being adapted. In a feasibility study, a standard camera was tested on a hardware-in-the-loop test bench using MotorcycleMaker, allowing the early testing of the inclined position and increased dynamics of motorcycles, as well as the efficient validation of the functions.