Emmanuel Delande
Fri 14 Apr 2017, 13:00 - 13:30
AGB Seminar Room AGB Building, King’s Buildings, EH9 3JL

If you have a question about this talk, please contact: Aryan Kaushik (s1580884)

Image for Target detection and tracking for space situational awareness: specificities and challenges

He is currently with the School of Engineering and Physical Sciences at Heriot-Watt University in Edinburgh.

Abstract

The detection and tracking of objects orbiting in the near-Earth space (active or defunct man-made satellites, space debris, etc.) is an increasingly challenging problem, as the number of objects is growing steadily and many of them are unaccounted for. Applying Bayesian estimation techniques to maintain a catalogue of orbiting objects based on observations collected by space sensing assets, while being a topic of growing interest in the space tracking community, is still relatively unexplored. In this talk, we will present the specific challenges of the Bayesian detection and tracking problem applied to space orbiting objects, and present some of our recent works to adapt a generic detection/tracking filtering algorithm to the context of space situational awareness.

Biograpy

Emmanuel Delande received an Eng. degree from the grande école Ecole Centrale de Lille, Lille, and a M.Sc degree in automatic control and signal processing from the University of Science & Technology, Lille, both in 2008. He was awarded his Ph.D. in 2012 from the Ecole Centrale de Lille. He is currently with the School of Engineering and Physical Sciences at Heriot-Watt University in Edinburgh, where he was awarded a postdoctoral position in the EPSRC-DSTL grant Signal Processing 4 the Networked Battlespace in 2013. His research interests are in the design and the implementation of multi-object filtering solutions for multiple target tracking and sensor management problems.