Computer Vision

In recent years, robotic table tennis has become a popular research challenge for perception and robot control. Here, we present an …

Accurate calibration is crucial for using multiple cameras to triangulate the position of objects precisely. However, it is also a …

The goal of this thesis is to apply these Graph-based networks for ball detection with event cameras.

The goal of this thesis is to develop a real-time capable (multi) object tracking pipeline by applying multi object segmentation.

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.

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.

The goal of this thesis is to investigate and evaluate how a SNN can be used together with our event-based cameras to detect and track table tennis balls.

The goal of this project was to develop a pipeline to merge maps created by different Unmanned Aerial Vehicles (UAVs) operating in the same area.

In this semester project a new object tracking approach is proposed. A fusion of Ultra-wideband (UWB) and visual measurements to track an object in 3D by fusing both modalities in a principled manner.