This video shows you how to prepare software-in-the-loop (SIL) testing with virtual ECUs (V-ECUs) for Adaptive AUTOSAR applications.
Accelerate your developments for ADAS/AD by using SIL testing in early validations without the real ECU hardware and when running multiple simulations in parallel.
A true-to-life depiction of reality within a simulation, a digital twin, can be used to carry out high-precision virtual test drives. In contrast to gaming applications, in which the human eye can be fooled, the vehicle development process always requires physically correct computations. The new dSPACE solution for sensor-realistic simulation offers next-generation visualization and realistic sensors (camera, radar, lidar), thus making it possible to test and validate driving functions in real time or even faster.
Parallel execution of complex and CPU-intensive simulation models
The SCALEXIO portfolio has been updated to include a new SCALEXIO Processing Unit featuring a 16-core Intel Xeon Gold Processor. This makes it possible for engineers to use high-fidelity, physically realistic models, increases model accuracy, and makes HIL simulations more realistic.
Video: More Options for Code Generation – Introducing the New TargetLink Add-On Package
Watch in this video on how the free-of-charge TargetLink Add-On Package (TLAP) expands the functionality of the production code generator TargetLink, for example, with additional blocks.
Data logging is a key element when testing and validating technologies for autonomous driving. But how can you make sure your data logging processes are efficient and reliable? Our colleague Patrik Morávek answers this question and others in this video.
The dSPACE V2X Interface for waveBEE makes it possible to integrate SCALEXIO or VEOS with the V2X simulator by Nordsys for testing various applications, from Day One to connected automated driving.
Continuous Integration (CI) can make a big difference in software development efficiency. This webinar recording focuses on the implementation of a continuous integration workflow for model-based development (MBD). It offers some essential tips and tricks on how to prepare your production code generator and your Simulink®/TargetLink models for a continuous integration scenario.
Video: Best Practices for Using Git with TargetLink
Millions of software developers around the world use the Git open-source version control system to keep track of changes and manage their source code. Git is also supported in the dSPACE TargetLink production code generator. In this Learning Bits episode, Felix Engel, dSPACE Product Management Team Lead, and Sven Harder, dSPACE Manager – Code Generation, share best practices for using Git with TargetLink.
Developing and Testing Smart Charging Technologies
We offer complete solutions for developing and testing smart charging technologies – from charging stations and communication controllers to onboard chargers. Get an overview of typical use cases and learn how our solution portfolio helps you to meet the challenges in this area.
