1 code implementation • 15 Dec 2023 • Leon Mlodzian, Zhigang Sun, Hendrik Berkemeyer, Sebastian Monka, Zixu Wang, Stefan Dietze, Lavdim Halilaj, Juergen Luettin
Further, we present nuScenes Knowledge Graph (nSKG), a knowledge graph for the nuScenes dataset, that models explicitly all scene participants and road elements, as well as their semantic and spatial relationships.
no code implementations • 20 Oct 2022 • Sebastian Monka, Lavdim Halilaj, Achim Rettinger
The experimental results provide evidence that the contextual views influence the image representations in the DNN differently and therefore lead to different predictions for the same images.
no code implementations • 30 Sep 2022 • Juergen Luettin, Sebastian Monka, Cory Henson, Lavdim Halilaj
However, recent progress in knowledge graph embeddings and graph neural networks allows to applying machine learning to graph-structured data.
no code implementations • 27 Jan 2022 • Sebastian Monka, Lavdim Halilaj, Achim Rettinger
KGs can represent auxiliary knowledge either in an underlying graph-structured schema or in a vector-based knowledge graph embedding.
no code implementations • 17 Feb 2021 • Sebastian Monka, Lavdim Halilaj, Stefan Schmid, Achim Rettinger
However, due to the sole dependence on the image data distribution of the training domain, these models tend to fail when applied to a target domain that differs from their source domain.
no code implementations • 17 Jul 2018 • Boitumelo Ruf, Sebastian Monka, Matthias Kollmann, Michael Grinberg
Obstacle avoidance is based on a reactive approach which finds the shortest path around the obstacles as soon as they have a critical distance to the UAV.