Automotive Research
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Automated driving nowadays has become a reality with the help of in-vehicle ADAS systems. More of such systems are being developed by OEMs and service providers for enhancing road and traffic safety. The present in-vehicle systems require continuous monitoring and behavioral adaptation from human drivers. HUBRIS aims at developing design guidelines for developing in-vehicle systems which can adapt to the human driver.


The behavioral differences between the human driver and present in-vehicle systems exist because the human driver continuously adapts according to his preferences and the dynamic traffic environment and in-vehicle systems maintain their rule-based behavior irrespective of the human driver. A data-driven approach can bring-forth the different driving styles of a single human driver in relation to the dynamic traffic environment. With this approach, it is possible to quantify the differences in human driving and in-vehicle system driving, providing insights for developing HUBRIS systems.

HUBRIS is an exploratory study for generating a methodology, with which initial design guidelines for HUBRIS systems can be developed. For such, Adaptive Cruise Control (ACC) and Lane-Keeping Assist (LKA) will be studied as use-cases.