no code implementations • 19 Dec 2022 • Frederik Hasecke, Pascal Colling, Anton Kummert
We compare our method with two state of the art approaches for semantic lidar segmentation domain adaptation with a significant improvement for unsupervised and semi-supervised domain adaptation.
no code implementations • 20 Jun 2022 • Frederik Hasecke, Martin Alsfasser, Anton Kummert
To train a well performing neural network for semantic segmentation, it is crucial to have a large dataset with available ground truth for the network to generalize on unseen data.
no code implementations • 17 Jun 2020 • Lukas Hahn, Frederik Hasecke, Anton Kummert
Object detection algorithms for Lidar data have seen numerous publications in recent years, reporting good results on dataset benchmarks oriented towards automotive requirements.
no code implementations • 1 Mar 2020 • Frederik Hasecke, Lukas Hahn, Anton Kummert
Lidar sensors are widely used in various applications, ranging from scientific fields over industrial use to integration in consumer products.