Testing Automated Driving in Urban Areas and on Highways

  • Closed-loop tests of functions for automated driving on the PC using VEOS
  • Automotive Simulation Models (ASM) with open, customizable, and real-time-capable Simulink models for the vehicle and traffic environment
  • ModelDesk for configuring complex urban and highway scenarios with an unlimited number of detectable static and movable objects
  • MotionDesk for 3-D visualization of virtual test drives, e.g., in highway scenarios with realistic construction sites
  • SYNECT for central data and workflow management, test scheduling and execution

Even though hardware-in-the-loop (HIL) simulation remains indispensable for release tests, the significant increase in testing effort can be managed only by moving the tests forward to software-in-the-loop (SIL) simulation, especially in connection with autonomous driving. dSPACE offers a well-tuned tool chain that supports the seamless transition from SIL to HIL. The realistic simulation is the basis of the virtual validation, and an essential component are the real-time capable ASM sensor models. Modeling the environment with roads, roadside development, traffic signs, etc. as well as displaying the road users also becomes more detailed, as these components interact directly with the sensor models in the simulation. In addition, ASM’s multi-agent simulation enables many full-fledged vehicles to drive autonomously in the same environment. ModelDesk supports generating road networks from navigation data and a comfortable import of scenario descriptions, for example, from real driving tests. MotionDesk provides realistic visualization, with advanced lighting simulation even virtual driving at dusk and night becomes easy. Data artifacts, such as simulation models, test scenarios, and parameters, are centrally managed in SYNECT. Test runs can also be planned and automated from here.   

  • Testing Highly Automated Driving Testing automated driving functions by means of simulation
  • MotionDesk 3-D online animation of simulated mechanical systems in real time, e.g., for visualizing ADAS or vehicle dynamics scenarios
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