1 code implementation • ICCV 2023 • David Schinagl, Georg Krispel, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof
Widely-used LiDAR-based 3D object detectors often neglect fundamental geometric information readily available from the object proposals in their confidence estimation.
no code implementations • 14 Dec 2022 • Georg Krispel, David Schinagl, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof
The sensing process of large-scale LiDAR point clouds inevitably causes large blind spots, i. e. regions not visible to the sensor.
1 code implementation • CVPR 2022 • David Schinagl, Georg Krispel, Horst Possegger, Peter M. Roth, Horst Bischof
These maps indicate the importance of each 3D point in predicting the specific objects.
no code implementations • 18 Dec 2019 • Georg Krispel, Michael Opitz, Georg Waltner, Horst Possegger, Horst Bischof
We introduce a simple yet effective fusion method of LiDAR and RGB data to segment LiDAR point clouds.