Neuromorphic Event-based Vision: Technology and Applications
Neuromorphic event-based vision is an emerging paradigm of acquisition and processing of visual information that takes inspiration from the functioning of the human vision system, attempting to recreate Nature's visual information acquisition and ...
Posch, Christoph
core
Material Coupling in Hybrid Neuromorphic Devices: From Fundamentals to System‐Level Applications
Hybrid neuromorphic devices utilize heterointerfaces between emerging semiconductors, where charge transfer and trapping, ion or defect modulation, and photogating are translated into synaptic functions. This paper discusses coupling strategies that tailor interfacial electronic and ionic properties in organic semiconductors, metal oxides, two ...
Minsu So +5 more
wiley +1 more source
E-Fall Vision: Event Based Human Fall Detection Dataset
This dataset consists of RGB-to-Event converted data for Human Fall Detection. It is intended for use in Human Fall Detection tasks leveraging Neuromorphic/Event-based Vision.
Muhammad Hamza Zafar
core +1 more source
Learning an event sequence embedding for event-based deep stereo
Today, a frame-based camera is the sensor of choice for machine vision applications. However, these cameras, originally developed for acquisition of static images rather than for sensing of dynamic uncontrolled visual environments, suffer from high power
Tulyakov, Stepan +9 more
core +1 more source
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
SpikeMOT: Event-Based Multi-Object Tracking With Sparse Motion Features
In comparison to conventional RGB cameras, the exceptional temporal resolution of event cameras allows them to capture rich information between frames, making them prime candidates for object tracking.
Song Wang +4 more
doaj +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Adversarial attacks on spiking convolutional neural networks for event-based vision. [PDF]
Büchel J +4 more
europepmc +1 more source
Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor
We present the first static-obstacle avoidance method for quadrotors using just an onboard, monocular event camera. Quadrotors are capable of fast and agile flight in cluttered environments when piloted manually, but vision-based autonomous flight in unknown environments is difficult in part due to the sensor limitations of traditional onboard cameras.
Bhattacharya, Anish +6 more
openaire +5 more sources
Optimizing Event-Based Vision by Realizing Super-Resolution in Event-Space: an Experimental Approach
An event-based camera enables capturing a video at a high temporal resolution, high dynamical range, reduced power consumption and minimal data bandwidth while the camera has minimal physical dimensions compared to a frame-based camera with the same ...
Şabanoğlu, Mahir (author)
core

