Speaker Details

Speaker Company

Wolfgang Stolzmann

Wolfgang Stolzmann studied mathematics and received a doctorate in machine learning at the University of Osnabrück. He was a postdoc at the University of Würzburg and has been working in the field of driver observation for more than 20 years. From 2021 he has led the center of competence for interior sensing at Luxoft. Stolzmann has long-time experience in driver state monitoring and driver monitoring systems. For instance, he developed the algorithms for the Mercedes Attention Assist and was responsible for the development of driver monitoring systems. At Luxoft he is responsible for the validation of interior sensors.


Validation of interior cameras in synthetic environments

Advanced driver distraction warning (ADDW) is mandatory from 2024. Besides this and other safety functions, interior cameras can be used for extended user experience and improved passive safety and well-being. For occupant monitoring systems (OMS), this means that a vast range of new features will be introduced in the upcoming years. Therefore, Luxoft has further developed its OMS virtual validation toolchain. This presentation will cover corner cases for OMS validation as well as typical test scenarios for KPI analysis. It will present a database of virtual videos together with perfect ground truth (GT) data and apply it to a prototype device under test.

The audience will learn:

  • The flexibility of Luxoft’s OMS virtual validation toolchain
  • Interactive experience of the toolchain
  • Application of the toolchain for KPI analysis