Explainable Artificial Intelligence for a high dimensional condition monitoring application using the SHAP Method. - Raphael Wallsberger; Tim Dieter Eberhardt; Paul-Albert Bartlau; Maurice Lucas Dörnte; Tim Lukas Schröter; Stephan Matzka (AI4I, 2022)

Odometry Estimation by Fusing Multiple Radar Sensors and an Inertial Measurement Unit. - Tim Brühl; Tim Dieter Eberhardt; Robin Schwager; Lukas Ewecker; Tin Stribor Sohn; Sören Hohmann (ICRA, 2024)

A Taxonomy and Survey on Sensor Blockage-Induced Degradation and its Impact on Advanced Driver Assistance Systems. - Tim Dieter Eberhardt; Tim Brühl; Robin Schwager; Tin Stribor Sohn; Wilhelm Stork (ICVES, 2024)

What the Cluster: An Unsupervised Framework to Segment Automotive Doppler Radar Pointclouds. - Tim Dieter Eberhardt; Tim Brühl; Robin Schwager; Tin Stribor Sohn; Wilhelm Stork (ICVES, 2024)

Drive4C: A Closed-Loop Benchmark on What Foundation Models Really Need to Be Capable of for Language-Guided Autonomous Driving. - Tin Stribor Sohn; Maximilian Dillitzer; Johannes Bach; Jason J. Corso; Tim Brühl; Robin Schwager; Tim Dieter Eberhardt; Eric Sax (CVPR Workshops, 2025)

Large Language Model-Informed Geometric Trajectory Embedding for Driving Scenario Retrieval. - Tin Stribor Sohn; Maximilian Dillitzer; Tim Brühl; Robin Schwager; Tim Dieter Eberhardt; Michael Auerbach; Eric Sax (VEHITS, 2025)

Clarity Amidst Blur: A Deterministic Method for Synthetic Generation of Water Droplets on Camera Lenses. - Tim Dieter Eberhardt; Tim Brühl; Robin Schwager; Tin Stribor Sohn; Wilhelm Stork (WACV, 2025)

SAFERad: A Framework to Enable Radar Data for Safety-Relevant Perception Tasks. - Tim Brühl; Jenny Glönkler; Robin Schwager; Tin Stribor Sohn; Tim Dieter Eberhardt; Sören Hohmann (CoRR, 2025)