Search Results for author: Germain Haessig

Found 7 papers, 0 papers with code

Real-time 6-DoF Pose Estimation by an Event-based Camera using Active LED Markers

no code implementations25 Oct 2023 Gerald Ebmer, Adam Loch, Minh Nhat Vu, Germain Haessig, Roberto Mecca, Markus Vincze, Christian Hartl-Nesic, Andreas Kugi

Experimental results in static and dynamic scenarios are presented to demonstrate the performance of the proposed approach in terms of computational speed and absolute accuracy, using the OptiTrack system as the basis for measurement.

Pose Estimation

Bio-inspired Polarization Event Camera

no code implementations2 Dec 2021 Germain Haessig, Damien Joubert, Justin Haque, Yingkai Chen, Moritz Milde, Tobi Delbruck, Viktor Gruev

The stomatopod (mantis shrimp) visual system has recently provided a blueprint for the design of paradigm-shifting polarization and multispectral imaging sensors, enabling solutions to challenging medical and remote sensing problems.

Event-Based high-speed low-latency fiducial marker tracking

no code implementations12 Oct 2021 Adam Loch, Germain Haessig, Markus Vincze

Motion and dynamic environments, especially under challenging lighting conditions, are still an open issue for robust robotic applications.

Pose Estimation Vocal Bursts Intensity Prediction

Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks

no code implementations1 Jun 2021 Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri

Vibration patterns yield valuable information about the health state of a running machine, which is commonly exploited in predictive maintenance tasks for large industrial systems.

Edge-computing

An error-propagation spiking neural network compatible with neuromorphic processors

no code implementations12 Apr 2021 Matteo Cartiglia, Germain Haessig, Giacomo Indiveri

Spiking neural networks have shown great promise for the design of low-power sensory-processing and edge-computing hardware platforms.

Edge-computing Event-based vision

A Sparse Coding Multi-Scale Precise-Timing Machine Learning Algorithm for Neuromorphic Event-Based Sensors

no code implementations24 Apr 2018 Germain Haessig, Ryad Benosman

This paper introduces an unsupervised time-oriented event-based machine learning algorithm building on the concept of hierarchy of temporal descriptors called time surfaces.

BIG-bench Machine Learning Clustering

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