Tim Dieter Eberhardt

According to our database, Tim Dieter Eberhardt authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, July, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

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

Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 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

Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2024

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2022

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

Proceedings of the 5th International Conference on Artificial Intelligence for Industries, 2022