SCS developed a radar demonstrator based on the AMD Versal Edge platform. The flexible Imaging Radar Toolkit processes radar data quickly and energy-efficiently using vector processors, serving automotive developers as a platform for radar technologies in autonomous driving.
SCS developed the Electronic Ground Support Equipment (EGSE) for the aerospace supplier HTS, which was used to test the Gradflex experiment of the Foton-M3 mission prior to its flight into space.
Space is at a premium in the intensive care unit. Together with Luciole Medical, SCS developed the miniaturized, laser-based neuromonitoring spectrometer RheoControl. It monitors critical brain parameters at the bedside and, instead of the original control-cabinet-sized system, now only requires about the space of a palm.
SCS developed the control system for the world's most powerful dual-fuel marine engine, the 12X92DF with 85,000 hp, for Winterthur Gas & Diesel. Hardware, FPGA firmware, and software control sensors, valves, and ignition in real time and with microsecond precision.
Camera-based driver assistance systems must process video images in real-time. SCS ported computationally intensive algorithms such as SGM-Stereo, Optical Flow, and Stixel to an FPGA platform, allowing them to be tested directly in moving test vehicles. The implemented algorithms are now in series production.
The 4D radar developed by ZF generates a high-resolution point cloud for automated driving functions. SCS optimized and implemented the necessary signal processing on an SoC/FPGA, meeting the requirements of ISO 26262 ASIL B.
Cosmic radiation regularly causes memory errors on the ISS. SCS developed an FPGA-based emulator for EADS to specifically simulate these errors and test the error correction of the Mass Memory Unit before launch into space.
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