Traditional frame-based cameras, despite their effectiveness and usage in computer vision,
exhibit limitations such as high latency, low dynamic range, high power consumption, and …

The potential of neuromorphic computing to bring about revolutionary advancements in
multiple disciplines, such as artificial intelligence (AI), robotics, neurology, and cognitive …

Neuromorphic cameras are a new class of dynamic-vision-inspired sensors that encode the
rate of change of intensity as events. They can asynchronously record intensity changes as …

This paper presents a real-time method to detect and track multiple mobile ground robots
using event cameras. The method uses density-based spatial clustering of applications with …

Pedestrian detection has attracted great research attention in video surveillance, traffic
statistics, and especially in autonomous driving. To date, almost all pedestrian detection …

Dynamic Vision Sensor (DVS) pixels produce an asynchronous variable-rate address-event
output that represents brightness changes at the pixel. Since these sensors produce frame …

Analog computation with passive optical components can enhance processing speeds and
reduce power consumption, recently attracting renewed interest thanks to the opportunities …

Optoelectronic memristors based on amorphous oxide semiconductors (AOSs) are
promising devices for the development of spiking neural network (SNN) hardware in …

Motion capture systems are crucial in developing multi-quadrotor systems due to their ability
to provide fast and accurate ground truth measurements for tracking and control. This paper …

Earth orbit is a limited natural resource that hosts a vast range of vital space-based systems
that support the international community's national, commercial and defence interests. This …