Abstract

New vehicle designs with advanced driver assistance systems need to be validated with respect to human perceptions of comfort and risk. Therefore, human-in-the-loop simulations are used to evaluate a wide range of scenarios in driving simulators. In order to improve human-in-the-loop simulation, the chapter begins by reporting solver advancements that enable the real-time simulation of complex mechatronic systems using high fidelity multibody and multi-physics simulation models. A driving simulator setup is then presented that makes use of the high-fidelity vehicle models and can simulate vehicles with advanced driver assistance systems. The essential components of the simulator are outlined and initial results of a comparison study between high fidelity model and equivalent low fidelity models. Finally, two test cases are described that use respectively an adaptive cruise control function and an autonomous intersection crossing function.

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