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adas/ad development To master the complex challenges associated with the development of driver assistance systems and automated driving features, OEMs require optimized methods, processes and tools. AVL accompanies its customers right from the early development stages and contributes significantly toward ensuring the system quality expected by the market to attain high endcustomer acceptance. THE FAST TRACK TO FUTURE-PROOF DRIVER ASSISTANCE SYSTEMS WITH AVL Driver assistance systems, such as lane keeping and parking assistants, anti-collision and protection systems, assist, protect and relieve the strain on drivers in practically any driving situation. The trend to connectivity (car2x communication) in passenger cars and commercial vehicles has recently led to a sharp increase in the demand for such systems, thus increasing 1 8 F O C U S the complexity of the complete vehicle development. This obstacle raises a number of questions: How can functional safety be ensured in ADAS and AD (Advanced Driver Assistance Systems and Automated Driving) within a short period of time while the pressure on cost and time continue to grow? How can the subjective driving experience be assessed in terms of safety and comfort feeling? How can fuel economy and, consequently, CO2 emissions be improved in the long term? BEST-IN-CLASS SYSTEMS THANKS TO A BROAD SPECTRUM OF ENGINEERING SERVICES „As a globally operating company, AVL provides a wide range of ADAS and AD engineering services in three different areas,“ said Erich Ramschak, Senior Product Manager Vehicles at AVL, adding that „the first one comprises the functional integration of ADAS and AD – for example the application of driver assistance systems with calibration and testing, as well as the development or modification of OEM-specific addon functions. The second area covers methods and simulation methods designed to test and validate functions on the road and in the lab, particularly the objective assessment of subjective driving comfort and safety perception with AVL-DRIVE™. The third area concerns the development of predictive or adaptive func-


Focus_2016_02_E
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