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TU Berlin

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M.Sc. Alexander Lotz

Lupe

External Researcher


 

Telephone: +49 (0)711-17-59925

 

 

 

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.

 

Research interests

  • Driver modeling in human-machine interaction
  • Take-over behaviour for autonomous driving
  • Classification methods through machine learning algorithms

 

Talks

  • 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.

Publications

Response Times and Gaze Behavior of Truck Drivers in Time Critical Conditional Automated Driving Take-overs
Citation key lotz2019a
Author Lotz, A. and Russwinkel, N. and Wohlfarth, E.
Pages 532-551
Year 2019
Journal Transportation Research Part F: Traffic Psychology and Behaviour
Volume 64
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