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Found 7 papers, 0 papers with code
Real-time 6-DoF Pose Estimation by an Event-based Camera using Active LED Markers
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.
Bio-inspired Polarization Event Camera
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
Motion and dynamic environments, especially under challenging lighting conditions, are still an open issue for robust robotic applications.
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks
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.
An error-propagation spiking neural network compatible with neuromorphic processors
Spiking neural networks have shown great promise for the design of low-power sensory-processing and edge-computing hardware platforms.
A Sparse Coding Multi-Scale Precise-Timing Machine Learning Algorithm for Neuromorphic Event-Based Sensors
This paper introduces an unsupervised time-oriented event-based machine learning algorithm building on the concept of hierarchy of temporal descriptors called time surfaces.
Spiking Optical Flow for Event-based Sensors Using IBM's TrueNorth Neurosynaptic System
This paper describes a fully spike-based neural network for optical flow estimation from Dynamic Vision Sensor data.
