Publications (21)
SC-Diff: 3D Shape Completion with Latent Diffusion Models
Simon Schaefer, Juan D. Galvis, Xingxing Zuo +1
We present a novel 3D shape completion framework that unifies multimodal conditioning, leveraging both 2D images and 3D partial scans through a latent diffusion model. Shapes are r…
The Software Stack That Won the Formula Student Driverless Competition
Andres Alvarez, Nico Denner, Zhe Feng +13
This report describes our approach to design and evaluate a software stack for a race car capable of achieving competitive driving performance in the different disciplines of the F…
Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning
Anna Penzkofer, Simon Schaefer, Florian Strohm +3
While deep reinforcement learning (RL) agents outperform humans on an increasing number of tasks, training them requires data equivalent to decades of human gameplay. Recent hierar…
Visual-Inertial SLAM with Tightly-Coupled Dropout-Tolerant GPS Fusion
Simon Boche, Xingxing Zuo, Simon Schaefer +1
Robotic applications are continuously striving towards higher levels of autonomy. To achieve that goal, a highly robust and accurate state estimation is indispensable. Combining vi…
Autonomous Electric Race Car Design
Niklas Funk, Nikhilesh Alatur, Robin Deuber +12
Autonomous driving and electric vehicles are nowadays very active research and development areas. In this paper we present the conversion of a standard Kyburz eRod into an autonomo…
AEGNN: Asynchronous Event-based Graph Neural Networks
Simon Schaefer, Daniel Gehrig, Davide Scaramuzza
The best performing learning algorithms devised for event cameras work by first converting events into dense representations that are then processed using standard CNNs. However, t…