dSPACE offers comprehensive solutions and services for the data-driven development, simulation, and validation.
This makes safe, autonomous driving a reality – with an open, integrated end-to-end development and test environment, from data logging and production code generation to homologation, sensor testing, and aftermarket.
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An optimal data-driven development solution consists of a fully integrated pipeline for the continuous development of the machine-learning-based functions needed for autonomous driving. dSPACE ensures that you successfully master your data pipeline challenges with the right technologies, methods, and outstanding expertise.
Truck-Trailer Combinations and Two-Wheelers for More Variety in Traffic Simulation
Versatility is the key to realistic simulations. Learn how new objects like truck-trailer combinations and two-wheelers complement and enrich traffic simulations.
Video: Vehicle-in-the-Loop Testing of Safety-Critical ADAS Functions
Perform end-of-line (EOL) tests and periodic technical inspections (PTI) on the test stand to efficiently ensure ADAS and AD safety. Watch this video to see a joint solution from dSPACE and DÜRR for state-of-the-art vehicle-in-the-loop testing.
You want to test control units for traction systems with voltages up to 1,250 V using integrated power electronics? Or do you want to test your charging equipment with every conceivable grid configuration and effects at full power? Our Power HIL systems can be equipped with any number of high-voltage electronic load modules to emulate electric motors, batteries, or power grids during HIL simulation.
During simulation, TargetLink lets you inject or tunnel signals into or from a TargetLink subsystem without a connection line. These videos introduce you to different modeling approaches: Using global data stores and Using data store and custom code blocks.
Cooperation for Easily Scalable Data Replay Tests on Software and Hardware Platforms
dSPACE has formed a technology collaboration with Equinix and Microsoft with the aim to accelerate the development and validation of self-driving cars.
