Software enables demanding camera tests in virtual driving trials
DYNA4, a simulation environment for virtual driving tests, now offers users improvements for the development and testing of modern driver assistance functions. The focus is on real-time, realistic modelling of the environment. A technological leap in graphics calculation for 3D visualisation and camera image generation enables the consistent use of physical lighting parameters in driving scenarios. Developers use it to test camera-based control systems in challenging lighting situations, such as backlighting or with strongly changing light intensities. Camera images are calculated with a high dynamic range (HDR) and output as a Bayer matrix. DYNA4 also provides OSI ground truth information. The object information detected by image processing can be directly validated against this information. This also applies to other sensor technologies such as lidar, ultrasound or radar.
DYNA4 is based on simulation standards and offers a variety of interfaces for the most flexible use of the virtual driving test in an existing infrastructure. By using the ASAM OSI standard in DYNA4, object-based sensors can send information in the form of OSI messages. These are received in other applications, such as CANoe, where the data is further processed for remaining bus simulation in HIL mode and displayed in the scene window. In doing so, Vector’s ASAM OSI representation significantly reduces the effort required to set up and maintain interfaces between simulation and sensors or ECU functions.
By optimising the model structure, the new version 6 offers more user-friendliness in the consistent use of MIL, SIL to HIL. The integration of controller components in virtual test vehicles is now implemented as isolated exchangeable modules, which improves interchangeability. Different variants and development versions of a controller component can thus be exchanged for each other with a constant model interface, without the need for further model changes. In addition, flexible access to signal and control variables in the model was simplified so that they can be dynamically manipulated during a test procedure.
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