Tim Brühl

According to our database1, Tim Brühl authored at least 19 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
SAFERad: A Framework to Enable Radar Data for Safety-Relevant Perception Tasks.
CoRR, July, 2025

Clarity Amidst Blur: A Deterministic Method for Synthetic Generation of Water Droplets on Camera Lenses.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Large Language Model-Informed Geometric Trajectory Embedding for Driving Scenario Retrieval.
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.
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.
Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems, 2024

Making Radar Detections Safe for Autonomous Driving: A Review.
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.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Detecting Oncoming Vehicles at Night in Urban Scenarios - An Annotation Proof-Of-Concept.
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.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

A Framework for Localization in a Ground Plan Map based on Radar Perception and Odometry Data.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Feature-Based Test Scenario Selection in Automated Driving: Insights from SHAP Values.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Adjustment of an Assisted Driving Function Based on Driver-Initiated Takeovers.
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.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

What the Cluster: An Unsupervised Framework to Segment Automotive Doppler Radar Pointclouds.
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.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2024

Odometry Estimation by Fusing Multiple Radar Sensors and an Inertial Measurement Unit.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

PVDN-Urban - A Dataset for Provident Vehicle Detection at Night in Urban Scenarios.
Proceedings of the IEEE International Conference on Image Processing, 2024

2023
How Important is the Temporal Context to Anticipate Oncoming Vehicles at Night?
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.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022


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