Giancarlo A. Antonucci – Industrial Collaborations
Transfinite Systems is a software company specialised in satellite communications and coordination. As Earth's orbit shells become more and more crowded with satellites, they are interested in understanding how the probabilities of collisions
between satellites on intersecting orbits becomes important, as 2009 Iridium-33 crash shows. Updating estimates of collision probabilities is important as new deployments are authorised but is difficult because only limited information about the
deployment is needed to obtain permission.
In this study group, we demonstrated that, despite the lack of information, analytic estimates of collision probabilities relevant to the problem could be made. We carried out a survey of approaches reported in the literature, reviewing the 2009
Iridium-33 collision event. We showed how to derive a simple formula for the probability of a collision, exploiting small dimensionless numbers in the problem. We then extended our results to consider collisions involving orbits containing many
satellites, aiming at finding the optimal point at which to traverse such an orbit. As it turns out, there are circumstances under which, to minimise the probability of a collision, it is better not to aim to pass between the midpoint of two
DSTL are the research department of the UK's Ministry of Defence. They wanted to investigate methods for performing simultaneous transmission and detection of electromagnetic data streams on the same channels, and the bounds on that performance
that these could achieve. In order to achieve this, one must accurately model the components of the received signal which are reflections of previously outgoing signals sent on the same channel.
In this study group, we established that the solution to this problem lies in estimating the reflected signals caused by the outgoing signal. We defined the problem mathematically using an integral equation to represent the received signal. We
then derived Cramer-Rao (lower) bounds for the error in estimating the outgoing signal, based upon the error in the calculation of the reflected signal. We performed numerical simulations for a simple example to demonstrate some techniques that
could be used for solving this problem.
CrowdVision sell a software to monitor crowd levels in enclosed spaces, their main installations being at large international airports. Their monitoring method relies on using computer vision from an array of overhead cameras to estimate
occupancy levels, flow rates and queueing times within certain prescribed areas. Since the ground truth can be difficult to establish, it is difficult to assess the accuracy of their system. Similarly, human counting is prone to error, even when
using video recordings with no time constraints and the support of sophisticated software.
In this study group, we considered what errors could arise from the images recorded by the cameras, due to both occlusion of people and image distortion due to a fisheye lens. We also developed a statistical model of human counting errors and
attempt to estimate human accuracy from data. And, finally, we attempted to relate human and computer accuracy on the basis of simplifying statistical approximations.