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)

SBOF: An End-to-End Framework for Simulative Black-Box Optimization of Hybrid Perceptive Functions. - Stefan Roos; Julian Schmidt; Wilhelm Stork (SMC, 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)

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)