ComfyDrive

Driving style modeling in highly automated driving based on the driver-vehicle-interaction

Partners

Professorship of Ergonomics and Innovation Management at TU Chemnitz

Professorship of Communications Engineering at TU Chemnitz

AIM Micro Systems GmbH

FusionSystems GmbH

Fraunhofer IOF

FORTecH Software GmbH

SQB GmbH

Volkswagen AG (associated partner)

Funding

BMBF (Federal Ministry of Education and Research), No. 03ZZ0432A

Duration

10/2016-09/2019

Description

Highly automated driving is supposed to enhance the mobility of all age groups in the near future. However, the associated transition of the human’s role from an active driver to a passenger with an occasional monitoring task raises new questions of human-machine-interaction. Core questions address the driving comfort provided during a highly automated drive: How does highly automated driving have to be designed in order to be perceived as comfortable and thus acceptable by drivers? Which factors do affect the drivers’ comfort level? Which variables can be used to assess the drivers’ comfort level during driving? Those questions are addressed by “ComfyDrive”. Aim of the project is the detection of uncomfortable moments during a highly automated drive. This is based on innovative 3d-sensor technology, which is integrated in the vehicle to detect its immediate environment as well as its interior. This integrated information recording and processing system can be used to subsequently take situation- and driver-specific measures to enhance driving comfort, e.g. by adapting the highly automated driving style or the information design in the vehicle. Focal points of the Professorship of Cognitive and Engineering Psychology are the identification of comfort-relevant driving scenarios as well as the derivation of parameters for the 3d-sensor-based assessment of discomfort by means of literature research and a driving simulator study.