Tim Brühl

According to our database, Tim Brühl authored at least 23 papers between 2022 and 2026.

Collaborative distances:

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

2026

Improving Driver Satisfaction with a Driving Function Learning from Implicit Human Feedback - a Test Group Study.

Robin Schwager, Andrea Anastasio, Simon Hartmann, Andreas Ronellenfitsch, Michael Grimm, Tim Brühl, Tin Stribor Sohn, Tim Dieter Eberhardt, Sören Hohmann

CoRR, February, 2026

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

Rainy-nuScenes: A Data Partition for Benchmarking Contaminated Vehicle Cameras through Rain.

Tim Dieter Eberhardt, Matthias Klingler, Tim Brühl, Robin Schwager, Tin Stribor Sohn, Stefan-Alexander Schneider, Wilhelm Stork

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Adaptive Radar Clustering and Tracking based on Point Criticality Assessment.

Tim Brühl, Antonio Vico, Jan Goldscheider, Robin Schwager, Tin Stribor Sohn, Tim Dieter Eberhardt, Sören Hohmann

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Safer Radar Motion by Scrutinizing Critical Velocity Estimates.

Tim Brühl, Tin Stribor Sohn, Tim Dieter Eberhardt, Robin Schwager, Sören Hohmann

Proceedings of the IEEE Intelligent Vehicles Symposium, 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

Towards Scenario Retrieval of Real Driving Data with Large Vision-Language Models.

Tin Stribor Sohn, Maximilian Dillitzer, Lukas Ewecker, Tim Brühl, Robin Schwager, Lena Dalke, Philip Elspas, Frank Oechsle, Eric Sax

Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems, 2024

Making Radar Detections Safe for Autonomous Driving: A Review.

Tim Brühl, Lukas Ewecker, Robin Schwager, Tin Stribor Sohn, Sören Hohmann

Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems, 2024

An Analysis of Driver-Initiated Takeovers during Assisted Driving and their Effect on Driver Satisfaction.

Robin Schwager, Michael Grimm, Xin Liu, Lukas Ewecker, Tim Brühl, Tin Stribor Sohn, Sören Hohmann

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Detecting Oncoming Vehicles at Night in Urban Scenarios - An Annotation Proof-Of-Concept.

Lukas Ewecker, Niklas Wagner, Tim Brühl, Robin Schwager, Tin Stribor Sohn, Alexander Engelsberger, Jensun Ravichandran, Hanno Stage, Jacob Langner, Sascha Saralajew

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Combining Visual Saliency Methods and Sparse Keypoint Annotations to Create Object Representations for Providently Detecting Vehicles at Night.

Lukas Ewecker, Lars Ohnemus, Robin Schwager, Stefan Roos, Tim Brühl, Sascha Saralajew

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

A Framework for Localization in a Ground Plan Map based on Radar Perception and Odometry Data.

Tim Brühl, Felix Blahak, Robin Schwager, Lukas Ewecker, Tin Stribor Sohn, Sören Hohmann

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Feature-Based Test Scenario Selection in Automated Driving: Insights from SHAP Values.

Tin Stribor Sohn, Nora Gorhan, Maximilian Dillitzer, Lukas Ewecker, Tim Brühl, Robin Schwager, Ann-Therese Nägele, Eric Sax

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Adjustment of an Assisted Driving Function Based on Driver-Initiated Takeovers.

Robin Schwager, Matej Svaral, Michael Grimm, Simon Hartmann, Lukas Ewecker, Tim Brühl, Tin Stribor Sohn, Sören Hohmann

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Consideration of Safety Aspects in a Camera-Aided, Radar-Based Free Space Detection.

Tim Brühl, Aravind Kumar Shanmuganathan, Lukas Ewecker, Robin Schwager, Tin Stribor Sohn, Ondrej Vaculín, Sören Hohmann

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 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

PVDN-Urban - A Dataset for Provident Vehicle Detection at Night in Urban Scenarios.

Lukas Ewecker, Florian Schiffel, Robin Schwager, Tim Brühl, Tin Stribor Sohn, Thomas Villmann

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

How Important is the Temporal Context to Anticipate Oncoming Vehicles at Night?

Lukas Ewecker, Timo Winkler, Philipp Väth, Robin Schwager, Tim Brühl, Frank-Michael Schleif

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

A Method for Evaluation and Optimization of Automotive Camera Systems based on Simulated Raw Sensor Data.

Stefan Roos, Tim Brühl, Moritz Pfeffer, Lukas Ewecker, Wilhelm Stork

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022