Lukas Ewecker

According to our database, Lukas Ewecker authored at least 9 papers between 2020 and 2023.

Collaborative distances:

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

2023

Provident vehicle detection at night for advanced driver assistance systems.

Lukas Ewecker, Ebubekir Asan, Lars Ohnemus, Sascha Saralajew

Auton. Robots, March, 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

Reducing Computer Vision Dataset Size via Selective Sampling.

Hanno Stage, Lukas Ewecker, Jacob Langner, Tin Stribor Sohn, Thomas Villmann, Eric Sax

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

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

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

Detecting vehicles in the dark in urban environments - A human benchmark.

Lukas Ewecker, Ebubekir Asan, Stefan Roos

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

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

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

A Dataset for Provident Vehicle Detection at Night.

Sascha Saralajew, Lars Ohnemus, Lukas Ewecker, Ebubekir Asan, Simon T. Isele, Stefan Roos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

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