Multimodality fusion based on deep neural networks (DNN) is a significant method for
intelligent vehicles. The special characteristics of DNN lead to the issue of AI safety and …

The stabilization and validation process of the measured position of objects is an important
step for high-level perception functions and for the correct processing of sensory data. The …

This paper presents a novel method for labeling real-world neuromorphic camera sensor
data by calculating the likelihood of generating an event at each pixel within a short time …

In this work, we present an optical space imaging dataset using a range of event-based
neuromorphic vision sensors. The unique method of operation of event-based sensors …

Compared with conventional image sensors, event cameras have been attracting attention
thanks to their potential in environments under fast motion and high dynamic range (HDR) …

Star trackers are primarily optical devices that are used to estimate the attitude of a
spacecraft by recognising and tracking star patterns. Currently, most star trackers use …

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 …

The unknown correspondences of measurements and targets, referred to as data
association, is one of the main challenges of multi-target tracking. Each new measurement …

As an emerging approach to space situational awareness and space imaging, the practical
use of an event-based camera (EBC) in space imaging for precise source analysis is still in …

Star trackers are state-of-the-art attitude estimation devices which function by recognising
and tracking star patterns. Most commercial star trackers use conventional optical sensors. A …