Andreas Ziegler
Andreas Ziegler
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Robotics
Table tennis ball spin estimation with an event camera
Spin plays a pivotal role in ball-based sports. Estimating spin becomes a key skill due to its impact on the ball’s trajectory …
Thomas Gossard
,
Julian Krismer
,
Andreas Ziegler
,
Jonas Tebbe
,
Andreas Zell
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DOI
Spiking Neural Networks for Fast-Moving Object Detection on Neuromorphic Hardware Devices Using an Event-Based Camera
Table tennis is a fast-paced and exhilarating sport that demands agility, precision, and fast reflexes. In recent years, robotic table …
Andreas Ziegler
,
Karl Vetter
,
Thomas Gossard
,
Jonas Tebbe
,
Andreas Zell
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Project
Video
DOI
A multi-modal table tennis robot system
In recent years, robotic table tennis has become a popular research challenge for perception and robot control. Here, we present an …
Andreas Ziegler
,
Thomas Gossard
,
Karl Vetter
,
Jonas Tebbe
,
Andreas Zell
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DOI
eWand: A calibration framework for wide baseline frame-based and event-based camera systems
Accurate calibration is crucial for using multiple cameras to triangulate the position of objects precisely. However, it is also a …
Thomas Gossard
,
Andreas Ziegler
,
Levin Komar
,
Jonas Tebbe
,
Andreas Zell
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Code
Project
Video
DOI
Asynchronous Graph-based Neural Networks for Ball Detection with Event Cameras
The goal of this thesis is to apply these Graph-based networks for ball detection with event cameras.
Apr 21, 2023
Multi Object tracking via event-based motion segmentation with event cameras
The goal of this thesis is to develop a real-time capable (multi) object tracking pipeline by applying multi object segmentation.
Apr 21, 2023
SpinDOE: A ball spin estimation method for table tennis robot
Spin plays a considerable role in table tennis, making a shot’s trajectory harder to read and predict. However, the spin is challenging …
Thomas Gossard
,
Jonas Tebbe
,
Andreas Ziegler
,
Andreas Zell
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DOI
A real-time event simulator
The goal of this project was to develop an event simulator which can run in real-time given a video stream from a frame-based camera.
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Real-time event simulation with frame-based cameras
Event cameras are becoming increasingly popular in robotics and computer vision due to their beneficial properties, e.g., high temporal …
Andreas Ziegler
,
Daniel Teigland
,
Jonas Tebbe
,
Thomas Gossard
,
Andreas Zell
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Code
Project
Poster
Video
DOI
Ball Detection with event-based asynchronous sparse convolutional networks
The goal of this thesis is to use Asynchronous Sparse Convolutional Layers and apply it in a neural network to detect fast moving table tennis balls in real-time.
Feb 21, 2021
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