1 citations · 2 across the 10 of their papers we have counts for
11 papers
Rate as a Feature, Not a Nuisance: Curriculum FiLM Training for Event-Based Graph Neural Networks
Kavyansh Tyagi, Andreas Ziegler
An event camera emits events at a rate given by the scene motion, object texture, illumination, its own contrast thresholds, and other settings. Across the N-Caltech101 dataset, re…
Event-Time Hybrid Optimal Control for Robotic Table Tennis Serves
Thomas Gossard, Till Köpff, Andreas Ziegler
Robotic table tennis serves require high ball velocity and spin while respecting the robot's kinodynamic limits. Unlike rally strokes, a valid serve must also bounce on the server'…
BlurBall: Joint Ball and Motion Blur Estimation for Table Tennis Ball Tracking
Thomas Gossard, Filip Radovic, Andreas Ziegler +1
Motion blur reduces the clarity of fast-moving objects, posing challenges for detection systems, especially in racket sports, where balls often appear as streaks rather than distin…
BiasBench: A reproducible benchmark for tuning the biases of event cameras
Andreas Ziegler, David Joseph, Thomas Gossard +2
Event-based cameras are bio-inspired sensors that detect light changes asynchronously for each pixel. They are increasingly used in fields like computer vision and robotics because…
TT3D: Table Tennis 3D Reconstruction
Thomas Gossard, Andreas Ziegler, Andreas Zell
Sports analysis requires processing large amounts of data, which is time-consuming and costly. Advancements in neural networks have significantly alleviated this burden, enabling h…
An Event-Based Perception Pipeline for a Table Tennis Robot
Andreas Ziegler, Thomas Gossard, Arren Glover +1
Table tennis robots gained traction over the last years and have become a popular research challenge for control and perception algorithms. Fast and accurate ball detection is cruc…
Sound-Based Spin Estimation in Table Tennis: Dataset and Real-Time Classification Pipeline
Thomas Gossard, Julian Schmalzl, Andreas Ziegler +1
Sound can complement vision in ball sports by providing subtle cues about contact dynamics. In table tennis, the brief, high-frequency sounds produced during racket-ball impacts ca…
Table tennis ball spin estimation with an event camera
Thomas Gossard, Julian Krismer, Andreas Ziegler +2
Spin plays a pivotal role in ball-based sports. Estimating spin becomes a key skill due to its impact on the ball's trajectory and bouncing behavior. Spin cannot be observed direct…
Detection of Fast-Moving Objects with Neuromorphic Hardware
Andreas Ziegler, Karl Vetter, Thomas Gossard +3
Neuromorphic Computing (NC) and Spiking Neural Networks (SNNs) in particular are often viewed as the next generation of Neural Networks (NNs). NC is a novel bio-inspired paradigm f…
A multi-modal table tennis robot system
Andreas Ziegler, Thomas Gossard, Karl Vetter +2
In recent years, robotic table tennis has become a popular research challenge for perception and robot control. Here, we present an improved table tennis robot system with high acc…
eWand: A calibration framework for wide baseline frame-based and event-based camera systems
Thomas Gossard, Andreas Ziegler, Levin Kolmar +2
Accurate calibration is crucial for using multiple cameras to triangulate the position of objects precisely. However, it is also a time-consuming process that needs to be repeated…