Distributed testing in teams has become an everyday routine, as an increasing number of colleagues work from home or different company locations. This is a challenge in the establishment of a robust test process, since quick, direct chats in a shared office space are not possible. Tracking changes and states is also valuable for reliable planning and continuous integration and testing workflows. Improvements in SYNECT and AutomationDesk support your test workflows seamlessly and with utmost transparency. For more information and a typical use case, watch this Innovation Coffee Brake. We also offer a step-by-step introduction in our tutorial videos.
AURELION: New Version 22.1 for Sensor-Realistic Simulation at the Next Level
The new version 22.1 of AURELION, the dSPACE solution for sensor-realistic simulation for developing and validating perception algorithms and driving functions, again significantly increases the level of detail of simulations and visualizations.
This is demonstrated by new and enhanced light and weather effects, expanded truck/trailer model support, and even more U.S. traffic signs.
AURELION now supports the testing and training of artificial intelligence (AI) for autonomous driving with semantic segmentation functionalities that enable pixel-level annotation.
Kickstart e-drives: The latest motor models for the highly realistic simulation of a variety of drive and generator designs let you test control software in the virtual world.
SmartKai is a digital assistance system that aims to make damage caused by maneuvering in the tight space of a harbor basin a thing of the past. Lidar sensors installed in the harbor capture each ship’s position data, and with the help of the RTMaps software, the data is then prepared for display to the ship’s crew.
Did you know that dSPACE offers innovative solutions for developing and testing hydrogen fuel cells?
We support manufacturers across the world in bringing cutting-edge fuel cell technologies to market. Our solutions include tried-and-tested HIL test systems and simulation models for the fuel cell system itself up to complete virtual vehicles (e.g., fuel cell truck simulation).
dSPACE, as an experienced solution provider for data-driven development, is already using artificial intelligence (AI) in its products and to deliver new features.
The new dSPACE sensor vehicle is hitting German roads constantly, letting us use the collected environment data in combination with AI to further develop dSPACE products.
Our sensor vehicle is equipped with a rooftop box containing sensors (cameras, lidar, radar) and the powerful dSPACE AUTERA data logging hardware.
Blog: How to Perform Vehicle-in-the-Loop Simulation
Real vehicle tests for testing ADAS/AD features are becoming more and more complex. By using a simulation environment as the sensor input, you can reduce the effort spent on creating the test environment.
Read our latest blog post to learn how to do just that.
Blog: Mastering Models in Git with dSPACE Model Compare
Many dSPACE customers are already using Git to benefit from the advantages of modern, distributed version control systems, e.g., faster development speeds, greater flexibility, or increased collaboration. But out-of-the box Git only lets you manage text files, not binary files like TargetLink or Simulink® model files. Read this blog article to learn how you can integrate Model Compare with Git to compare and merge model files.
New, Powerful Solution for Testing Battery Management Systems
Do you want to take your BMS testing to the next level, but still lack the right tool that perfectly meets all your testing requirements? This is where our new, powerful BMS solution comes into play. With its modular system design and high-precision cell voltage emulation, it lets you test modern battery systems with overall voltages of up to 1,500 V.
