The data fusion task was a collection of studies that were necessary to bridge the gaps between the component tasks (1-10) and the final system integration (Task 13), in preparation for the Task 14 evaluations. Data fusion consisted of three major efforts:Distraction Mitigation Preparation—The results of Task 2 were not yet ready for integration into the SAVE-IT system and so additional work was required in order to develop a functioning algorithm for detecting driving task demand.Iterative On-Road Testing and Development—Due to the complexity of the SAVE-IT systems, the optimal method for developing and refining these systems was a highly iterative process of development and on-road testing that examined the system behavior and subjective driver feedback.On-Road Adaptive Warning Validation—Task 9 primarily focused on the safety effectiveness evaluation of FCW and LDW. As a precursor to the evaluations (Task 14), additional on-road work was conducted to evaluate the acceptance of the adaptive FCW and LDW systems.
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RSS News: A Final Report of SAfety VEhicles using Adaptive Interface Technology (Pha 
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