Tooling and strategies for the development of a data-fusion based longitudinal control system

Driver Assistance Systems (DAS) have become one of the key elements in the automotive industry. Nevertheless, as they are relative young fields of competence, there is still room for improvement, both in its implementation and development strategies.DAS will become more effective through data fusion. One of its standing applications is the implementation in a longitudinal control system, based on object detection performed by the complementary properties of radar and image processing. This paper summarizes the activities undertaken in this domain by CTAG, including development and testing methodologies based in specifically developed tools for Software in the Loop (SiL) and in-vehicle testing.