Stefan KochStefan Koch is a Senior Staff Software Engineer at Torc Robotics. He holds a M.Sc. in Information Engineering from the University of Constance. He has extensive experience in data intensive systems in the automotive and telecommunication industry and is currently working on scenario detection.
Defining the right set of scenario categories for autonomous trucks
In the last 1.5 years, Torc Robotics and TNO have implemented large scale scenario detection using TNO’s StreetWise pipeline. During this work, the need was felt to develop a more structural approach for defining scenario categories. Good coverage of real-world driving with scenario categories is an essential part of developing Level 4 autonomous vehicle technology at scale. This presentation will present various approaches to identifying scenario categories, such as knowledge-based approaches that look at vehicle combinations, unsupervised methods, tag-based approaches, ADS-focused approaches and discuss advantages and disadvantages. The right set of scenario categories depends on the purpose and use case.