Future Advanced Driver Assistance Systems (ADAS) aim at increasing the safety of drivers, passengers and pedestrians, especially at intersections. Successfull implementation requires optimal human machine interaction concepts.
This thesis focuses on the question how much additional information an in-vehicle warning should carry. In driving simulator experiments, the effect of generic visual warnings in comparison to system-specific visual warnings was evaluated. In addition, the benefit of spatial audio warnings is quantified for various accident scenarios.
Besides the safety aspect, increased driving comfort is an additional motivation for the deployment of ADAS. In this thesis, different concepts for in-vehicle speed recommendations during traffic light approach are evaluated.
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Future Advanced Driver Assistance Systems (ADAS) aim at increasing the safety of drivers, passengers and pedestrians, especially at intersections. Successfull implementation requires optimal human machine interaction concepts.
This thesis focuses on the question how much additional information an in-vehicle warning should carry. In driving simulator experiments, the effect of generic visual warnings in comparison to system-specific visual warnings was evaluated. In addition, the benefit of spat...
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