Provident Vehicle Detection at Night: The PVDN Dataset. - Lars Ohnemus; Lukas Ewecker; Ebubekir Asan; Stefan Roos; Simon T. Isele; Jakob Ketterer; Leopold Müller; Sascha Saralajew (CoRR, 2020)

A Dataset for Provident Vehicle Detection at Night. - Sascha Saralajew; Lars Ohnemus; Lukas Ewecker; Ebubekir Asan; Simon T. Isele; Stefan Roos (IROS, 2021)

A Framework for Simulative Evaluation and Optimization of Point Cloud-Based Automotive Sensor Sets. - Stefan Roos; Tobias Völkel; Julian Schmidt; Lukas Ewecker; Wilhelm Stork (ITSC, 2021)

Detecting vehicles in the dark in urban environments - A human benchmark. - Lukas Ewecker; Ebubekir Asan; Stefan Roos (IV, 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 (SMC, 2022)

Combining Visual Saliency Methods and Sparse Keypoint Annotations to Providently Detect Vehicles at Night. - Lukas Ewecker; Lars Ohnemus; Robin Schwager; Stefan Roos; Sascha Saralajew (CoRR, 2022)

Reducing Computer Vision Dataset Size via Selective Sampling. - Hanno Stage; Lukas Ewecker; Jacob Langner; Tin Stribor Sohn; Thomas Villmann; Eric Sax (ITSC, 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 (SMC, 2023)

Provident vehicle detection at night for advanced driver assistance systems. - Lukas Ewecker; Ebubekir Asan; Lars Ohnemus; Sascha Saralajew (Auton. Robots, 2023)

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 (ICIP, 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 (ICRA, 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 (ITSC, 2024)

Are Gamers Good Annotators? A Comparative Study of Gaming Crowds and Professional Annotators. - Lukas Ewecker; Christopher Klugmann; Daniel Kondermann; Robin Schwager; Thomas Villmann (ITSC, 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 (ITSC, 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 (ITSC, 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 (IV, 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 (IV, 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 (IV, 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 (IV, 2024)

Making Radar Detections Safe for Autonomous Driving: A Review. - Tim Brühl; Lukas Ewecker; Robin Schwager; Tin Stribor Sohn; Sören Hohmann (VEHITS, 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 (VEHITS, 2024)