Jan Steinbrener

According to our database, Jan Steinbrener authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The INSANE dataset: Large number of sensors for challenging UAV flights in Mars analog, outdoor, and out-/indoor transition scenarios.

Christian Brommer, Alessandro Fornasier, Martin Scheiber, Jeff Delaune, Roland Brockers, Jan Steinbrener, Stephan Weiss

Int. J. Robotics Res., 2024

AIVIO: Closed-loop, Object-relative Navigation of UAVs with AI-aided Visual Inertial Odometry.

Thomas Jantos, Martin Scheiber, Christian Brommer, Eren Allak, Stephan Weiss, Jan Steinbrener

CoRR, 2024

2023

Deterministic Framework based Structured Learning for Quadrotors.

Rupam Singh, Jan Steinbrener, Stephan Weiss

Proceedings of the 27th International Conference on Methods and Models in Automation and Robotics, 2023

AI-Based Multi-Object Relative State Estimation with Self-Calibration Capabilities.

Thomas Jantos, Christian Brommer, Eren Allak, Stephan Weiss, Jan Steinbrener

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

CNS Flight Stack for Reproducible, Customizable, and Fully Autonomous Applications.

Martin Scheiber, Alessandro Fornasier, Roland Jung, Christoph Böhm, Rohit Dhakate, Christian Stewart, Jan Steinbrener, Stephan Weiss, Christian Brommer

IEEE Robotics Autom. Lett., 2022

INSANE: Cross-Domain UAV Data Sets with Increased Number of Sensors for developing Advanced and Novel Estimators.

Christian Brommer, Alessandro Fornasier, Martin Scheiber, Jeff Delaune, Roland Brockers, Jan Steinbrener, Stephan Weiss

CoRR, 2022

Autonomous Control of Redundant Hydraulic Manipulator Using Reinforcement Learning with Action Feedback.

Rohit Dhakate, Christian Brommer, Christoph Böhm, Harald Gietler, Stephan Weiss, Jan Steinbrener

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Centralized-Equivalent Pairwise Estimation with Asynchronous Communication Constraints for two Robots.

Eren Allak, Axel Barrau, Roland Jung, Jan Steinbrener, Stephan Weiss

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Improved State Propagation through AI-based Pre-processing and Down-sampling of High-Speed Inertial Data.

Jan Steinbrener, Christian Brommer, Thomas Jantos, Alessandro Fornasier, Stephan Weiss

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose Estimation.

Thomas Jantos, Mohamed Amin Hamdad, Wolfgang Granig, Stephan Weiss, Jan Steinbrener

Proceedings of the Conference on Robot Learning, 2022

2021

MaRS: A Modular and Robust Sensor-Fusion Framework.

Christian Brommer, Roland Jung, Jan Steinbrener, Stephan Weiss

IEEE Robotics Autom. Lett., 2021

Automated Data Annotation for 6-DoF AI-Based Navigation Algorithm Development.

Javier Gibran Apud Baca, Thomas Jantos, Mario Theuermann, Mohamed Amin Hamdad, Jan Steinbrener, Stephan Weiss, Alexander Almer, Roland Perko

J. Imaging, 2021

2020

Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference.

Jan Steinbrener, Konstantin Posch, Jürgen Pilz

Sensors, 2020

2019

Variational Inference to Measure Model Uncertainty in Deep Neural Networks.

Konstantin Posch, Jan Steinbrener, Jürgen Pilz

CoRR, 2019

Hyperspectral fruit and vegetable classification using convolutional neural networks.

Jan Steinbrener, Konstantin Posch, Raimund Leitner

Comput. Electron. Agric., 2019

Comparison of Deep Learning Architectures on Embedded Devices and Generalized Fixed-point Conversion Algorithm.

Jan Steinbrener, Pratik Desai

Proceedings of the 2019 5th Experiment International Conference (exp.at'19), 2019