Driving a vehicle in a safe manner is a highly specialized task that depends on the driver's
cognitive ability, skills, attention, fast processing, interpretation of traffic situations and rules …

Light curves are plots of brightness measured over time. In the field of Space Situational
Awareness (SSA), light curves of Resident Space Objects (RSOs) can be utilized to infer …

This paper presents the first of its kind real-time simulation of the effect of spray water on an
automotive LIDAR sensor. The simulation is based on physically measurable quantities in …

This paper presents a data driven approach to space object characterisation through the
application of machine learning techniques to observational light curve data. One …

The growing number of man-made debris in Earth's orbit poses a threat to active satellite
missions due to the risk of collision. Characterizing unknown debris is, therefore, of high …

Characterizing unknown space objects is a growing field of study in Space Domain
Awareness. Light curves, time histories of unresolved electro-optical brightness …

Active debris removal missions are necessary to guarantee the safe and sustainable use of
space resources and environment in the future. The development of priority lists describing …

Hyperspectral remote sensing has been proposed as a method to extract quantitative
information about resident space objects (RSO) for space domain awareness. Measured …

Characterizing unknown space objects is an important component of robust space
situational awareness. Estimating the shape of an object allows analysts to perform more …

There is a growing interest in characterizing the attitude dynamics of resident space objects
for purposes ranging from active debris removal missions to conjunction assessment. We …