Case Study
Friday, September 30
10:00 AM - 10:30 AM
Live in Berlin
Less Details
Detecting pedestrians is critical for autonomous vehicles and also one of the leading challenges in computer vision. Complex scenarios and conditions, such as changing weather and light, play a key role in the engineering of reliable pedestrian detection systems. In this talk we will look at:
Thomas Krüger studied aerospace engineering at the University of Braunschweig where he also received his PhD on Adaptive Flight Control Systems using Neural Networks. From 2012 to 2021 he worked in different positions in industry: as a project manager for development and certification of Special Mission Aircraft, in the field of technology development for autonomous systems in manufacturing at Volkswagen and as manager of an engineering department for unmanned systems at Airbus Defence & Space. Since 2021 he is responsible for the business development and scientific strategy at DLR’s new Institute for AI Safety and Security. His main professional interests are Systems and Safety Engineering for autonomous and AI systems, strategy development and agile methods for safety critical systems.