Transferring the Complexity of the Real World to Simulation
dSPACE and understand.ai offer a new service that generates simulation scenarios from recorded measurement data used to validate functions for autonomous driving and driver assistance. With this offer, dSPACE supports its customers in the automotive industry in developing autonomous vehicles quickly and efficiently using realistic simulation.
dSPACE announces a novel V2X HIL solution, developed in cooperation with NORDSYS GmbH, for testing advanced safety V2X applications and connected automated vehicles.
Watch the video to learn more about testing a new level of V2X communication, such as collective perception with the potential to save lives in critical traffic situations.
Blog: With TargetLink into the Adaptive Future of Model-Based Development
Adaptive AUTOSAR, the new standard of the AUTOSAR Consortium, covers a wide range of application, including autonomous driving and networked cars. At the same time, its architecture changes some fundamental development paradigms. Read the dSPACE Blog to learn how TargetLink enables the development of Adaptive AUTOSAR-compliant control functions and their validation.
Watch this video to get a first impression of the future dSPACE solution for sensor-realistic simulation (2021): With highly accurate environment sensor simulation, realistic lighting and weather effects as well as and camera, lidar, and radar models. For testing and validation in real time – or even faster.
Today, the GWM brand portfolio includes innovative production vehicles such as the Wey P8 plug-in hybrid and the Ora R1 electric car. During development, the company used the production code generator dSPACE TargetLink as well as other tools from the TargetLink Ecosystem.
Scenario Generation: Intelligently Setting the Scene
Using the dSPACE and understand.ai solution for generating simulation scenarios, thousands of tests of safety-critical driving scenarios with special hardware and software can be performed by simulation.