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Real time driver body pose estimation for novel assistance systems

: Martin, Manuel; Stuehmer, S.; Voit, Michael; Stiefelhagen, Rainer


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Computer Society:
IEEE 20th International Conference on Intelligent Transportation Systems, ITSC 2017 : 16-19 October 2017, Yokohama, Japan
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5386-1526-3
ISBN: 978-1-5386-1525-6
ISBN: 978-1-5386-1527-0
7 pp.
International Conference on Intelligent Transportation Systems (ITSC) <20, 2017, Yokohama>
Conference Paper
Fraunhofer IOSB ()

The trend towards increasing automation turns the drivers of modern cars more and more into passengers. This increases the scope of potential secondary tasks and increases distraction. For safety reasons cars should therefore be aware of the situation in their interior to be able to evaluate the drivers readiness to assume control. We present an algorithm that can accurately detect the 3D upper body pose of the driver in real time with a single depth camera. We show that it can determine the upper body pose in various real driving situations and with different secondary tasks. We propose that our algorithm can be a building block for various advanced driver observation systems for automated cars.