No need to learn from each other? Potentials of Knowledge Modeling in Autonomous Vehicle Systems Engineering Towards new methods in multidisciplinary contexts

ADAS & Autonomous Driving Real world Static space Dynamic space Risk /Alarm.. No risk

Towards an Operational Design Domain That Supports the Safety Argumentation of an Automated

After a sufficient initial understanding of the behaviour and HMI of such highly automated vehicles, the technical subsystems were structured and designed (figure 3): To support

With the purpose of getting drivers ready for autonomous driving, in a between-subject study sixty inexperienced participants were trained with an on-board video tutorial, an

Mugellini, Convey sit- uation awareness in conditionally automated driving with a haptic seat, in: Proceed- ings of the 11th International Conference on Automotive User Interfaces

This can be achieved by performing heuristic decisions in the form of interval splits. For example, the midpoint of an interval could be chosen as the new upper or lower bound. This

In another hand, anger could lead to a positive impact on the alerting network efficiency (Techer et al., 2015) and so may become useful when driving with advanced driving assistance

The human driving behaviors are modelled for the design of controller, refined by referential paths using evasive trajectory model, where linear and angular velocities are limited