by caecilia von Lienen | Mar 18, 2021 | Allgemein
In this speech, a biofidel dummy is presented for the evaluation of future interior concepts and novel restraint systems as well as the protection of unprotected road users. The dummy should have the mechanics, fracture and injury properties of a human being and be converted into a simulation model.
by caecilia von Lienen | Feb 2, 2021 | Allgemein
In the well-known ZDF knowledge program, Lars was allowed to work with Dr. Doberstein autopsy a biofidelic dummy that was involved as a pedestrian in a crash test.
by caecilia von Lienen | Dec 11, 2020 | Allgemein
Determination of the road safety potential in relation to correctly adjusted headlights
In the field of applied research, we are starting a project with the FSD/Zentrale Stelle according to StVG to analyze the glare perception of different headlight technologies and setting values. Subsequently, the potential of checking the headlights as part of the main vehicle inspection and the adjustment accuracy required from the point of view of traffic safety are derived.
by caecilia von Lienen | Sep 15, 2020 | Allgemein
Natural driving behavior studies - Insights into event detection and driver profiling
This speech shows a novel study methodology to answer research questions regarding the validation and functional safeguarding of highly complex driving functions. This requires a large number of real driving maneuvers in order to train the automated driving functions for as many traffic scenarios as possible, which can be collected on the basis of driving behavior observations with a smartphone, for example.
by caecilia von Lienen | Jul 16, 2020 | Allgemein
How Personal Identity influences the Driving Behavior
The 11th International Conference on Applied Human Factors and Ergonomics (AHFE) took place this year in digital format due to the corona virus. Our contribution shows a detailed analysis of the driver's personality in relation to driving behavior, carried out in a real driving study. Based on cluster analysis and linear regression methods, different driver types can be categorized and their relationships in relation to driver individuality can be established.
