dSpace GmbH

Driven by the vision of accident-free and fully autonomous driving, the automotive industry has recognized the great potential of advanced driver assistance systems (ADAS) and functions for automated driving (AD). But while the systems become increasingly complex, the development effort has to stay manageable. Hence, dSPACE offers a well-coordinated tool chain in which hardware and software tools interact smoothly throughout all development steps. Perception, fusion and application algorithms as well as completely virtual ECUs can be developed, validated and tested by using the PC-based integration and simulation platform VEOS. Moreover, they can be combined with the powerful environment models from the dSPACE Automotive Simulation Models (ASM) tool suite. In addition, dSPACE also offers hardware-in-the-loop (HIL) setups for the validation of radar- and camera-based applications, and for vehicle-to-x (V2x) ECUs using IEEE 802.11p WLAN ad-hoc network communication.
 
dSPACE is or was a partner in various research funding projects, such as TRAFFIS, VirtualCar2x, DESERVE, Hy-Nets, SafeMove and iFUSE, with the objective of constantly improving the testing and development of ADAS and AD functions. Moreover, dSPACE is a member of the ADASIS forum and the CAR2CAR Communication Consortium, which define standards for the electronic horizon and for communication via IEEE 802.11p.

In the PEGASUS project, dSPACE helps create and establish open standard interfaces, such as FMI (models), OSI (sensors), OSC (scenarios), and integrate them into ADAS/AD tool chains. With dSPACE VEOS, the different interfaces are integrated into a single simulation platform that is combined with the ASM environment models. The result is a powerful ADAS/AD validation and verification suite. Test tools from other project partners (e.g., for stochastic scenario-based testing) can easily be connected to VEOS via XIL API, an ASAM standard interface for platform-independent testing. This makes it possible to implement the PEGASUS idea of intelligent scenario-based SIL testing with a large number and variety of real-world scenarios. Together with VEOS´ capability to simulate classic and adaptive AUTOSAR components, the use of virtual ECUs will take the project partners an important step closer to the goal of performing reproducible, affordable, and highly scalable tests (e.g., with PC clusters) in a realistic manner. This will considerably decrease the need of expensive real test drives.