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2020 – today
- 2024
[i13]Sebastián Barbas Laina, Simon Boche, Sotiris Papatheodorou, Dimos Tzoumanikas, Simon Schaefer, Hanzhi Chen, Stefan Leutenegger:
Scalable Autonomous Drone Flight in the Forest with Visual-Inertial SLAM and Dense Submaps Built without LiDAR. CoRR abs/2403.09596 (2024)- [i12]Theresa Huber, Simon Schaefer, Stefan Leutenegger:
DynamicGlue: Epipolar and Time-Informed Data Association in Dynamic Environments using Graph Neural Networks. CoRR abs/2403.11370 (2024) - [i11]Juan D. Galvis, Xingxing Zuo, Simon Schaefer, Stefan Leutenegger:
SC-Diff: 3D Shape Completion with Latent Diffusion Models. CoRR abs/2403.12470 (2024) - [i10]Leonard Freißmuth, Matías Mattamala, Nived Chebrolu, Simon Schaefer, Stefan Leutenegger, Maurice F. Fallon:
Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System. CoRR abs/2403.17622 (2024) - 2023
- [c6]Simon Schaefer, Luigi Palmieri, Lukas Heuer, Rüdiger Dillmann, Sven Koenig, Alexander Kleiner:
A Benchmark for Multi-Robot Planning in Realistic, Complex and Cluttered Environments. ICRA 2023: 9231-9237 - [c5]Dorian Fritz Henning, Christopher L. Choi, Simon Schaefer, Stefan Leutenegger:
BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking. IROS 2023: 3781-3788 - [c4]Simon Schaefer, Dorian Fritz Henning, Stefan Leutenegger:
GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild. IROS 2023: 3803-3810 - [i9]Anna Penzkofer, Simon Schaefer, Florian Strohm, Mihai Bâce, Stefan Leutenegger, Andreas Bulling:
Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning. CoRR abs/2306.11483 (2023) - [i8]Dorian Fritz Henning, Christopher L. Choi, Simon Schaefer, Stefan Leutenegger:
BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking. CoRR abs/2309.01236 (2023) - [i7]Simon Schaefer, Dorian Fritz Henning, Stefan Leutenegger:
GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild. CoRR abs/2309.10369 (2023) - 2022
- [c3]Simon Schaefer, Daniel Gehrig
, Davide Scaramuzza:
AEGNN: Asynchronous Event-based Graph Neural Networks. CVPR 2022: 12361-12371 - [c2]Simon Boche, Xingxing Zuo, Simon Schaefer, Stefan Leutenegger:
Visual-Inertial SLAM with Tightly-Coupled Dropout-Tolerant GPS Fusion. IROS 2022: 7020-7027 - [i6]Simon Schaefer, Daniel Gehrig, Davide Scaramuzza:
AEGNN: Asynchronous Event-based Graph Neural Networks. CoRR abs/2203.17149 (2022) - [i5]Simon Boche, Xingxing Zuo, Simon Schaefer, Stefan Leutenegger:
Visual-Inertial SLAM with Tightly-Coupled Dropout-Tolerant GPS Fusion. CoRR abs/2208.00709 (2022) - [i4]Andres Alvarez, Nico Denner, Zhe Feng, David Fischer, Yang Gao, Lukas Harsch, Sebastian Herz, Nick Le Large, Bach Nguyen, Carlos Rosero, Simon Schaefer, Alexander Terletskiy, Luca Wahl, Shaoxiang Wang, Jonona Yakupova, Haocen Yu:
The Software Stack That Won the Formula Student Driverless Competition. CoRR abs/2210.10933 (2022) - 2021
- [c1]Simon Schaefer, Karen Leung, Boris Ivanovic, Marco Pavone:
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions. ICRA 2021: 9673-9679 - 2020
- [i3]Simon Schaefer, Karen Leung, Boris Ivanovic, Marco Pavone:
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions. CoRR abs/2012.01027 (2020)
2010 – 2019
- 2017
- [i2]Niklas Funk, Nikhilesh Alatur, Robin Deuber, Frederick Gonon, Nico Messikommer, Julian Nubert, Moritz Patriarca, Simon Schaefer, Dominic Scotoni, Nicholas Bünger, Renaud Dubé, Raghav Khanna, Mark Pfeiffer, Erik Wilhelm, Roland Siegwart:
Autonomous Electric Race Car Design. CoRR abs/1711.00548 (2017) - [i1]Nico Messikommer, Simon Schaefer, Renaud Dubé, Mark Pfeiffer:
Cone Detection using a Combination of LiDAR and Vision-based Machine Learning. CoRR abs/1711.02079 (2017)
Coauthor Index
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