Functions & Components for driver assistance (ADAS) & highly automated driving (HAD)

We support our customer in the development of software for innovative driver assistance systems and highly-automated functions and their components. We offer an outstanding structure for implementing innovative functions in cooperation with the competence centres for safety and requirements engineering. We coordinate projects, for example for assisted and autonomous parking, design embedded algorithms, ensure successful integration, consider new test methods for automated driving in cooperation with our customers and transform test strategies into operational activities.

What makes the difference

  • Taking responsibility in the driver assistance development process with camera-, radar- and lidar-based environment sensing
  • Algorithm, function, SW development for automotive controllers (ECU) and use of machine learning and parallel computers (GPU) to increase performance
  • Architecture development and evaluation of future FAS controllers (domain controllers) also regarding functional safety (ISO 26262) by integrating the cross-sector knowledge at our competence centres
  • Testing and securing, also with our own product development and virtual driving tests on HiL simulators

Service Overview

  • Requirement Analysis (Multisensor Perception Simulator), compilation of technical specifications and completion during the term
  • Project coordination, component and supplier management (sensor, functions)
  • Test management and performance for driver assistance functions (driving test, HiL) according to the flexible development process considering the specifications of Automotive SPICE and ISTQB
  • Software development (embedded) up to target code for sensor fusion, object tracking, image processing, path planning, allocation maps, manoeuvre implementation, driver model development and handover scenarios during autonomous driving
  • Compilation of algorithms using ADTF programming and mapping of the controller architecture
  • Use of various target platforms such as Drive PC/Tegra K1 (nVidia), ARM (iMX, Cortex M7, A15), PPC5x or FPGA
  • Implementation with MATLAB/Simulink, C/C++, Rhapsody as well as use of the OpenCV, OpenCL, CUDA and ROS frameworks

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