no code implementations • 28 Aug 2023 • Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer
We show that the proposed method is applicable to many existing transformer based perception approaches and can bring potential benefits.
no code implementations • 26 Oct 2022 • Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer
Transformers have recently been utilized to perform object detection and tracking in the context of autonomous driving.
no code implementations • 30 Sep 2022 • Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer
We present TransLPC, a novel detection model for large point clouds that is based on a transformer architecture.
no code implementations • 26 Sep 2022 • Florian Drews, Di Feng, Florian Faion, Lars Rosenbaum, Michael Ulrich, Claudius Gläser
We propose DeepFusion, a modular multi-modal architecture to fuse lidars, cameras and radars in different combinations for 3D object detection.
no code implementations • 7 Jul 2022 • Daniel Niederlöhner, Michael Ulrich, Sascha Braun, Daniel Köhler, Florian Faion, Claudius Gläser, André Treptow, Holger Blume
Labels for the Cartesian velocities or contiguous sequences, which are expensive to obtain, are not required.
no code implementations • 31 May 2022 • Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer
The model utilizes a cross- and a self-attention mechanism and is applicable to lidar data in an automotive context, as well as other data types, such as radar.
no code implementations • 3 May 2022 • Michael Ulrich, Sascha Braun, Daniel Köhler, Daniel Niederlöhner, Florian Faion, Claudius Gläser, Holger Blume
This paper presents novel hybrid architectures that combine grid- and point-based processing to improve the detection performance and orientation estimation of radar-based object detection networks.
no code implementations • 21 Apr 2022 • Jasmine Richter, Florian Faion, Di Feng, Paul Benedikt Becker, Piotr Sielecki, Claudius Glaeser
In order to make autonomous driving a reality, artificial neural networks have to work reliably in the open-world.
no code implementations • 25 Dec 2020 • Gerhard Kurz, Florian Faion, Florian Pfaff, Antonio Zea, Uwe D. Hanebeck
We propose a new recursive method for simultaneous estimation of both the pose and the shape of a three-dimensional extended object.