no code implementations • 8 Feb 2022 • Alexander Wischnewski, Maximilian Geisslinger, Johannes Betz, Tobias Betz, Felix Fent, Alexander Heilmeier, Leonhard Hermansdorfer, Thomas Herrmann, Sebastian Huch, Phillip Karle, Felix Nobis, Levent Ögretmen, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Markus Lienkamp, Boris Lohmann
It is capable of running simulations of up to eight autonomous vehicles in real time.
1 code implementation • 26 Jun 2021 • Felix Nobis, Ehsan Shafiei, Phillip Karle, Johannes Betz, Markus Lienkamp
This paper develops a low-level sensor fusion network for 3D object detection, which fuses lidar, camera, and radar data.
1 code implementation • 15 May 2020 • Felix Nobis, Odysseas Papanikolaou, Johannes Betz, Markus Lienkamp
One fundamental building block of an autonomous vehicle is the ability to build a map of the environment and localize itself on such a map.
1 code implementation • 2019 Sensor Data Fusion: Trends, Solutions, Applications (SDF) 2019 • Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, Markus Lienkamp
Object detection in camera images, using deep learning has been proven successfully in recent years.
no code implementations • 15 May 2020 • Felix Nobis, Fabian Brunhuber, Simon Janssen, Johannes Betz, Markus Lienkamp
In this paper, we evaluate the performance of a 3D object detection pipeline which is parameterizable with different depth estimation configurations.