The development of active safety systems and functions is considerably different from classic chassis systems due to their true mechatronic nature in combination with the requirement of few so called false interventions. This requirement becomes increasingly restrictive as the intervention magnitude grows, why appropriate analysis and verification methods need to be developed to meet those function requirements.
A related severing factor, for the active safety system and its verification, is that these systems depend on the surrounding traffic environment which can gain unforeseen complexity, as for instance in dense city traffic. Not only the requirements for false interventions and their verification are challenging, also true positive testing is difficult since the test environment must remain safe for the involved engineers.
This project aims at developing CAE methods, models and tools to enable more efficient verification and analysis processes of future active safety functions.
Figure: Virtually generated images may be used to evaluate computer vision performance in a controlled and efficient manner. The top-right part of the figure shows a photo-realistic augmented image, generated by mixing a real image with added virtual objects.
FFP – The Swedish Automotive Research Program SAFER
– Vehicle and Traffic Safety Centre