The approval of automated and connected driving requires new efficient procedures for validation. One promising approach is the scenario based testing to control the parameter space in a targeted manner. The application in a virtual environment for purpose of validation promises benefits regarding costs, increased efficiency as well as safety for the execution. The main goal of the project is therefore the development of a virtual validation toolchain, which includes the simulation of the environment as well as sensors.
Further significant goals are the standardization and the use of open interfaces. These further global cooperation and support the transparent validation process, which is indispensable for the approval of automated driving functions.
FZD mainly pursues two goals within the project. The first is the investigation of different sensors within the topic of diverse sensor redundancy. Here, different quality metrics for the combination of different measuring principles are explored regarding further use when developing sensor setups. Another research topic is the validation of models for environment perception sensors. Sensor models for Radar and Lidar sensors have already been developed in previous projects at FZD. The focus lies on these Radar sensor models, which are now to be examined and validated using field tests.
The consortium consists of ten project partners consisting of automobile manufacturers, suppliers, various research institutes as well as mediumsized companies.
The project VIVID is a German-Japanese research coopeartion for a virtual validation methodology for intelligent driving systems. This cooperation adequately addresses the necessity of international standards for the safety assurance relying on simulation.