The progressing automation leads to a change of the tasks of humans in their activities. System understanding and trust in automation have emerged as the key factors in the use of automated systems.
Our research group investigates these and other questions primarily in the context of mobility. We investigate non-driving-related activities in highly automated driving and investigate the communication between road users in mixed traffic between automated and conventional road users.
@CITY - automated driving in the city: Non-driving related Tasks
During highly automated driving (SAE Level 3), the driver is allowed to engage in non-driving activities (NDA). Knowledge of the NDA desired by the user enables researchers and developers to optimally design the future vehicle interior including seat and readmission requests. Human-centred research identifies the needs of future users and then evaluates them according to resource utilisation.
@CITY - automated driving in the city: Communication with other road users
The aim of the IAD's project is to investigate the communication between highly automated vehicles and other road users (drivers and pedestrians). The communication between road users that occurs in today's urban traffic will be analysed. Moreover, external human-machine interfaces for highly automated vehicles will be developed and evaluated. These enable communication between external road users and humans.
Autonomous Driving Darmstadt for Students Projekt – aDDa
n the project autonomous Driving Darmstadt for Students (aDDa), students can build a self-driving vehicle. In addition to algorithms for fully automatic driving functions, the human-centred product development process is used. The aim of the project is to provide a modular vehicle platform across all subject areas and study courses at the TU Darmstadt.