Neuromorphic detection and cooling of microparticles in arrays [PDF]
Micro-objects levitated in a vacuum are an exciting platform for precision sensing due to their low dissipation motion and the potential for control at the quantum level.
Yugang Ren +6 more
doaj +2 more sources
Efficient and real-time perception: a survey on end-to-end event-based object detection in autonomous driving [PDF]
Autonomous driving has the potential to enhance driving comfort and accessibility, reduce accidents, and improve road safety, with vision sensors playing a key role in enabling vehicle autonomy.
Kamilya Smagulova +4 more
doaj +2 more sources
Event-Based Camera Modeling for Atmospheric Turbulence Prediction [PDF]
Atmospheric turbulence degrades long-range imaging and free-space optical performance, yet conventional measurement systems such as large-aperture scintillometers require active transmitters, precise alignment, and dedicated deployment.
Dor Mizrahi +3 more
doaj +2 more sources
EPCNet: Implementing an ‘Artificial Fovea’ for More Efficient Monitoring Using the Sensor Fusion of an Event-Based and a Frame-Based Camera [PDF]
Efficient object detection is crucial to real-time monitoring applications such as autonomous driving or security systems. Modern RGB cameras can produce high-resolution images for accurate object detection.
Orla Sealy Phelan +5 more
doaj +2 more sources
C3I-SynMicrosaccade: A pipeline and dataset for microsaccade recognition using neuromorphic event camera streamsHuggingFace [PDF]
This article presents a C3I-SynMicrosaccade dataset: a synthetic microsaccade dataset designed to enable event-based modelling and classification of microsaccadic eye movements.
Waseem Shariff +4 more
doaj +2 more sources
Boosting microparticle tracking with neuromorphic cameras by optical modulation [PDF]
We present a robust, non-invasive strategy to optimize the detection and tracking of Brownian microparticles using event-based cameras inspired by neuromorphic vision, enhancing their functionality beyond the internal sensor settings. By introducing artificial sway into the sensor plane with a steering mirror, we significantly increase the event ...
Huenchual-Escobar, José +4 more
openaire +3 more sources
A neuromorphic electronic artist for robotic painting [PDF]
Recent advances in deep learning have sparked interest in AI-generated art, including robot-assisted painting. Traditional painting machines use static images and offline processing without considering the dynamic nature of painting. Neuromorphic cameras,
Lioba Schürmann +4 more
doaj +2 more sources
A Neuromorphic Camera for Tracking Passive and Active Matter with Lower Data Throughput
AbstractThe merits of using a neuromorphic, or event‐based camera (EBC), for tracking of both passive and active matter are demonstrated. For passive matter, the Brownian motion of different micro‐particles is tracked and their diffusion coefficients are estimated.
Kishan Dholakia +2 more
exaly +3 more sources
Neuromorphic-enabled video-activated cell sorting [PDF]
Imaging flow cytometry allows image-activated cell sorting (IACS) with enhanced feature dimensions in cellular morphology, structure, and composition.
Weihua He +12 more
doaj +2 more sources
Using neuromorphic cameras to track quadcopters
In recent work, we have shown that neuromorphic (event-based) cameras are highly efficient at detecting quadcopters. This is done by directly detecting the frequency of the rotating blades. This signal is highly characteristic of quadcopters, in that very few other real-world phenomena generate frequencies that are tightly clustered around a single ...
Stewart, Terrence C. +5 more
openaire +2 more sources

