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Julian Kooij is an Associate Professor in the Intelligent Vehicles group at TU Delft, focusing on multi-sensor vehicle perception and autonomous driving. His research interests include computer vision, 3D object detection using vision, lidar, radar, and acoustic inputs, as well as visual localization and semantic understanding of environments. He is particularly concerned with the behavior of Vulnerable Road Users (VRUs) in urban settings characterized by high dynamics and limited visibility. Kooij's work employs deep learning and self-supervised approaches to enhance perception in contexts where traditional GPS and GNSS may falter. He is a member of a collaborative initiative at the European Laboratory for Learning Intelligent Systems (ELLIS) and co-founded a project aimed at advancing 3D Urban Understanding within the Delft AI Lab. Kooij completed his PhD at the University of Amsterdam, focusing on automated analysis of pedestrian movement through probabilistic graphical models. His industry experience includes an internship at Daimler AG, where he contributed to improving pedestrian path prediction for intelligent vehicles.
TU Delft • Delft
Leading research in multi-sensor vehicle perception and autonomous driving in the Intelligent Vehicles group.
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