M.Sc. Alexander Lotz
- © Alexander Lotz
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As the successive improvement of driver assistant systems is closing the gap towards implementing autonomous driving on a large scale, the human-machine-interaction is becoming of a primary focus. New systems allowing the driver to activate conditional autonomous driving temporarily, turn the driving task into a sequential handling between human and machine. When forced to take-over control of the vehicle, the driver has to process his/her surrounding to create an adequate situation awareness. This requires time as well as cognitive and perceptual resources. In this work, behavioural patterns are identified during the take-over situations through machine learning algorithms, in order to determine current and future situation awareness.
- Driver modeling in human-machine interaction
- Take-over behaviour for autonomous driving
- Classification methods through machine learning algorithms
- Lotz, A. & Russwinkel, N. (2016). The Role of Familiarity in Spatial Competence. Presentation at Kognitive Systeme in Bochum, Germany, 14.03.-16.03.2016.
- Lotz, A. & Russwinkel, N. (2016). Modelling different strategies in mental rotation. Presentation at KogWis in Bremen, Germany, 26.09.-30.09.2016.
|Author||Lotz, A. and Russwinkel, N. and Wohlfarth, E.|
|Journal||Transportation Research Part F: Traffic Psychology and Behaviour|