At the IEEE International Automated Vehicle Validation Conference in Baden-Baden (Germany), our colleague Zhiyuan Zhang will give a presentation on “Validation of a Critical Driving Scenario Identification Algorithm for Automated Driving Functions” on 1 October.

Together with Kevin Simon from the Karlsruhe Institute of Technology (KIT), he will present new approaches for efficiently testing autonomous vehicles. During the project, AI-based algorithms were developed to detect critical scenarios in both road traffic and simulation environments. Zhiyuan and Simon will also demonstrate a universal validation method for criticality algorithms to validate automated driving functions. Their main aim is to reduce redundant data and increase the information density required for developing and testing ADAS/AD systems, ensuring coverage of rare but critical long-tail scenarios.