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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

Predicting take-over times of truck drivers in conditional autonomous driving
Citation key lotz2018b
Author Lotz, A. and Weissenberger, S.
Title of Book Advances in Intelligent Systems and Computing. Advances in Human Aspects of Transportation 2019
Pages 329–338
Year 2019
Link to original publication Download Bibtex entry

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