To ensure efficient software function development, the precise mapping of the autonomous driving route in a simulation environment is essential. With the help of this digital twin, software functions such as the lidar-based localisation, which is calculated redundantly to the GNSS-based localisation, can be tested in advance.
In contrast to testing such functions on the basis of real data, the so-called ground truth (i.e. the real positions, orientations and dimensions) of all objects is available in the simulation. Structured and automated parameter variations (e.g. changed parking situations of vehicles at the roadside or changed seasons with regard to the canopy of trees along the route) can also be carried out much more easily, quickly and cost-efficiently than with the use of real driving data.
The digital twin for the route of the AutBus project in Neubäu am See was implemented with a combination of esmini (parameter variation), AVL VSM (vehicle dynamics) and Unreal Engine (graphic representation).