The integration of ADAS/AD functions in vehicles serves one goal: To ensure and, where possible, increase the safety of all road users. But what needs to be considered in the validation of intelligent systems? Is the consideration of regulations, test scenarios, sensors, and functions sufficient, or does the dynamic behavior of the vehicle also play a decisive role?
AUTERA SDI: Optimized Transmission of Camera Raw Data
Do you connect a host of high-resolution cameras to a data logger?
With the AUTERA Sensor Data Interface (SDI), you can transfer raw data from up to eight cameras to a data logger or a prototyping system with the option to simultaneously provide the data to an ECU (TAP mode) with low latencies and high data rates. AUTERA SDI flexibly handles camera raw data via exchangeable interface boards and is optimized for in-vehicle use.
In addition, the system can also replay recorded data to an ECU at a later stage.
64-Bit Real-Time Linux-Based Operating System for SCALEXIO
As part of our continuous improvement strategy, dSPACE will introduce a 64-bit version of the Linux-based dSPACE real-time operating system for SCALEXIO Processing Units and DS6001 Processor Board with dSPACE Release 2022-A. The improved operating system provides better real-time and computational performance, which is especially relevant for autonomous driving and e-mobility applications.
New High-End Board for Simulating High-Voltage Batteries at Cell Level
For the HIL test of cutting-edge battery management systems, dSPACE provides the new high-precision DS5481 Battery Cell Voltage Emulation Board. The board makes it possible to simulate high-voltage batteries at cell level with total system voltages of up to 1,500 V. Multiple boards can be connected in series in one HIL system to simulate various battery types and topologies.
Video: Three Reasons to Generate Fixed-Point Code from a Floating-Point Model
Fixed-point code still has several advantages over floating-point code, especially for safety-critical applications. But does it still make sense to start with a floating-point model? In this video podcast episode, Felix Engel from dSPACE and Markus Gros from our strategic partner BTC Embedded Systems will shed some light on this question.
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.