Simon Schaefer

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Diffusion Model

Cluttered Environments

Global Consistency

Motion Tracking

Top Venues

Publications

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 (2024)
Theresa Huber, Simon Schaefer, Stefan Leutenegger
DynamicGlue: Epipolar and Time-Informed Data Association in Dynamic Environments using Graph Neural Networks. CoRR (2024)
Juan D. Galvis, Xingxing Zuo, Simon Schaefer, Stefan Leutenegger
SC-Diff: 3D Shape Completion with Latent Diffusion Models. CoRR (2024)
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 (2024)
Simon Schaefer, Dorian Fritz Henning, Stefan Leutenegger
GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild. IROS (2023)
Anna Penzkofer, Simon Schaefer, Florian Strohm, Mihai Bâce, Stefan Leutenegger, Andreas Bulling
Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning. CoRR (2023)
Simon Schaefer, Dorian Fritz Henning, Stefan Leutenegger
GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild. CoRR (2023)
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)
Dorian Fritz Henning, Christopher L. Choi, Simon Schaefer, Stefan Leutenegger
BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking. IROS (2023)
Dorian Fritz Henning, Christopher L. Choi, Simon Schaefer, Stefan Leutenegger
BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking. CoRR (2023)
Simon Schaefer, Daniel Gehrig, Davide Scaramuzza
AEGNN: Asynchronous Event-based Graph Neural Networks. CVPR (2022)
Simon Boche, Xingxing Zuo, Simon Schaefer, Stefan Leutenegger
Visual-Inertial SLAM with Tightly-Coupled Dropout-Tolerant GPS Fusion. CoRR (2022)
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 (2022)
Simon Schaefer, Daniel Gehrig, Davide Scaramuzza
AEGNN: Asynchronous Event-based Graph Neural Networks. CoRR (2022)
Simon Boche, Xingxing Zuo, Simon Schaefer, Stefan Leutenegger
Visual-Inertial SLAM with Tightly-Coupled Dropout-Tolerant GPS Fusion. IROS (2022)
Simon Schaefer, Karen Leung, Boris Ivanovic, Marco Pavone
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions. ICRA (2021)
Simon Schaefer, Karen Leung, Boris Ivanovic, Marco Pavone
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions. CoRR (2020)
Nico Messikommer, Simon Schaefer, Renaud Dubé, Mark Pfeiffer
Cone Detection using a Combination of LiDAR and Vision-based Machine Learning. CoRR (2017)
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 (2017)