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01 March 2022
MEDIATOR is developing a system that mediates between the human driver and the vehicle automation to ensure safe, real-time switching between the two, based on who is fittest to drive. Currently, the prototypes of the four main Mediator system components and their integration are getting shape. Previously, we described the driver state component. Now we briefly introduce our steps towards the …
01 March 2022
Zenseact believes in making the world a better place by protecting all life on the road. The only way to achieve this is by making software so smart and safe that it will secure the wellbeing of all life inside a moving car and outside of it. Our goal is to create a safe software for self-driving cars that will enable the end customers to reach a “Zen” state of mind. At Zenseact, we have a strong …
07 February 2022
Chemnitz University of Technology (TUC) is the leader of work package 3, responsible for coordinating the evaluations of the developed prototypes in computer simulations, driving simulators and real-road demonstrators. They are conducting a driving simulator study to evaluate the acceptance and usability of the Mediator system and its functions respectively. Matthias Beggiato (WP3 leader) was …
04 February 2022
Local news stations paid attention to the MEDIATOR project in the past week as the TU Chemnitz research team is currently looking for participants to take part in a driving simulator study. The participants can try out the intelligent assistance system themselves and evaluate the innovative display and operating concept. Chemnitz University of Technology (TUC) is involved in the MEDIATOR project …
26 January 2022
Our team at Ben-Gurion University of the Negev (BGU), is conducting various driving simulator experiments to evaluate MEDIATOR’s HMI concept of preventive and corrective mediation. We focus on assessing the effects of driver distraction and driver fatigue on driving performance under partial automation conditions with and without the HMI. MEDIATOR is a significant project that exploits the …
13 January 2022
Drivers of partially automated vehicles (PAVs) are relieved from parts of the driving tasks allocated to the automated driver. Ironically, these drivers are obligated to continuously monitor the driving task at all times and keep their attention on the roadway. This reduction in the driving task's demands and cognitive workload may encourage drivers to engage with non-driving related tasks …