EXPO 9 rearview is now availablea STARTUP AUTOBAHN powered by Plug and Play event

External Speaker

Wolfgang Stolzmann

Head of Testing Advisory & Driver Monitoring


Link List

In case you‘d like to get in touch.

  • wstolzmann@luxoft.com

  • Linkedin

Description | Additional Information

you name it – we put it up

Wolfgang Stolzmann studied mathematics and received a doctorate in machine learning at the University of Osnabrueck in 1997. He was postdoc at the University of Wuerzburg and worked for Daimler R&D since 2001 in the field of driver observation. Since 2018 he is Lead Engineer & Consultant for ADAS Systems at CMORE Automotive, now a subsidiary company of Luxoft. Wolfgang has a long-time experience in driver state monitoring and driver monitoring systems. For instance, he developed the algorithms for the Mercedes Attention Assist. At Luxoft he is responsible for validation of driver monitoring systems from consulting and ground truth systems to data collection and analysis.

EXPO 9 Rearview & Wolfgang Stolzmann

This section only covers clips where Wolfgang Stolzmann participated in. For a comprehensive overview of all videos please head over to the rearview section.

Wolfgang Stolzmann on air

A sneak peak of the agenda. Find out more on the comprehensive overview.

February 25th, 2021 – Thursday

4:00 PM (UTC)

1:00 h

The Future of Gesture-Recognition Technologies: Envisioning the Impact of Human-Machine Interactions Across Different Industries and Use Cases – DXC Technology & Motion Gestures

This session will give you insights in Gesture-based Interaction, HMI, and Automation.

Breakout Session


Tech Talk



Expert Discussion + Q&A


Read more

Especially relevant for engineers, experts, and opinion leaders interested in sensor technologies surrounding ADAS and autonomous vehicles increasing road safety.

Especially during Covid-19 times, solutions with the ability for social distancing and minimized physical contact become a necessity. Trends show a focus on the use of AI, e. g. with the kiosk boom in Quick Service Restaurants (QSR) that can provide Natural language understanding (NLU) capabilities such as gesture-based interaction. An automated motion-controlled ordering process is the perfect response to these trends. Customers can select the desired products and confirm their orders with easy motions th…

Hosts of this session

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