Target tracking in a complex simulated world
Elias J. Griffith, Alexander M. Phillips, Liam P. Mai, Simon R. Maskell, Jason F. Ralph · 2024
This paper deals with the problem of tracking a specific target moving through a complex urban environment using co-operative airborne imaging sensors. We demonstrate algorithms to maintain a line of sight to the target where possible and adapts to occlusions, and other sensor limitations, as the vehicle moves through a complex urban environment. This work exploits an advanced simulation capability, built around Unreal Engine 5, that can generate realistic video data which is used to test and to stress tracking algorithms whilst providing ground truth data for true targets and for collateral entities.