Automotive Industry

The research department of an established German car-maker is developing highly complex image-processing algorithms for new driver-assistance systems. One example is the highly resolved and exact calculation of the 3D structure in front of the vehicle from the video signals of two cameras. Thanks to this information, future vehicles will be able to assess situations in their immediate proximity and determine the position of vehicles, obstacles and pedestrians, and predict where they will be in the immediate future. SCS experts were tasked with the evaluation of the suitability of these highly complex algorithms for implementation in an automotive-compliant FPGA. The algorithm has now been implemented on the Spartan6 accelerator box developed by SCS and performs calculations 75 times quicker than a commercially available PC. As a third-party supplier to Analog Devices, Texas Instruments and Xilinx, SCS was able to establish itself as a specialist in DSP and FPGA solutions.

Automotive Industry – Blog Postings

Around 3 years after the first ideas, we were able to realize the rc_visard, a 3D-stereo camera for robots, on behalf of the project partners KUKA and Roboception within just 9 months. For this project SCS could rely on their extensive ...
Dr. Uwe Franke from Daimler introduced together with Felix Eberli the potential of deep learning for autonomous driving during this year's first tech event. The presentation covered the impressive technical developments, driven by ...
Our demonstration showcases a development system for stereo-vision Advanced Driver Assistance Systems based on the Zynq All Programmable SoC. Geared toward the development of image analytics, this system demonstrates image rectification and ...
Modern cars are using more and more cameras in order to provide a better and more comprehensive display of their surroundings. Camera manufacturers need reliable measurement technology to design such systems. The SCS measurement technology ...