1 code implementation • 18 Feb 2024 • Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, Lutz Eckstein
Transforming the raw point cloud data into a dense 2D matrix structure is a promising way for applying compression algorithms.
no code implementations • 17 Jan 2024 • Raphael van Kempen, Tim Rehbronn, Abin Jose, Johannes Stegmaier, Bastian Lampe, Timo Woopen, Lutz Eckstein
Our findings demonstrate that our novel method, involving temporal offset augmentation through randomized frame skipping in sequences, enhances object detection accuracy compared to both the baseline model (Pillar-based Object Detection) and no augmentation.
2 code implementations • 8 May 2020 • Lennart Reiher, Bastian Lampe, Lutz Eckstein
Accurate environment perception is essential for automated driving.
Ranked #1 on Semantic Segmentation on Cam2BEV
Bird View Synthesis Cross-View Image-to-Image Translation +2
no code implementations • 5 May 2020 • Bastian Lampe, Raphael van Kempen, Timo Woopen, Alexandru Kampmann, Bassam Alrifaee, Lutz Eckstein
This paper describes a method to combine perception data of automated and connected vehicles in the form of evidential Dynamic Occupany Grid Maps (DOGMas) in a cloud-based system.